Distributed multi-target tracking with Y-shaped passive linear array sonars for effective ghost track elimination
Y-shaped passive linear array sonar (PLAS) systems are composed of three sensor legs that independently report bearings-only measurements with bearing-ambiguity. Given that many ghost targets are generated due to the bearing-ambiguity, multi-target tracking using a PLAS system is a challenging probl...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Zhang, Qian [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2018transfer abstract |
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| Umfang: |
25 |
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| Übergeordnetes Werk: |
Enthalten in: Mo1264 Clinical Characteristics of Inflammatory Bowel Disease May Influence the Cancer Risk When Using Immunomodulators: Incident Cases of Cancer in a Multicenter Case-Control Study - Petrruzziello, Carmelina ELSEVIER, 2013, an international journal, New York, NY |
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| Übergeordnetes Werk: |
volume:433 ; year:2018 ; pages:163-187 ; extent:25 |
| Links: |
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| DOI / URN: |
10.1016/j.ins.2017.12.042 |
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| Katalog-ID: |
ELV041766652 |
|---|
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| 520 | |a Y-shaped passive linear array sonar (PLAS) systems are composed of three sensor legs that independently report bearings-only measurements with bearing-ambiguity. Given that many ghost targets are generated due to the bearing-ambiguity, multi-target tracking using a PLAS system is a challenging problem, especially when target miss-detection and clutter are also considered. Centralized methods in most cases can obtain good tracking performances. However, they suffer from heavy communicational burdens and computational loads, as all measurements generated by all sensors are sent to the fusion center (FC). To reduce the communicational and computational burdens, a distributed target tracking method is proposed. In this method, to reduce the numbers of false tracks and ghost tracks, the original bearings-only measurements are temporarily tracked without considering the bearing-ambiguity at each local PLAS using a linear multi-target integrated probabilistic data association (LM-IPDA) tracker, which can handle false track discrimination (FTD). Then, the estimated bearings-only measurements from each local tracker are transmitted to the FC, where multiple targets are tracked using the sequential LM-IPDA while considering the bearing-ambiguity problem. To further reduce the number of false tracks generated by the bearing-ambiguity, a novel measurement-to-track assignment method is proposed for the distributed tracking method. Simulations show that the proposed methods have high tracking accuracies, as well as fewer communicational and computational loads, for multi-target tracking with the Y-shaped PLAS system. | ||
| 520 | |a Y-shaped passive linear array sonar (PLAS) systems are composed of three sensor legs that independently report bearings-only measurements with bearing-ambiguity. Given that many ghost targets are generated due to the bearing-ambiguity, multi-target tracking using a PLAS system is a challenging problem, especially when target miss-detection and clutter are also considered. Centralized methods in most cases can obtain good tracking performances. However, they suffer from heavy communicational burdens and computational loads, as all measurements generated by all sensors are sent to the fusion center (FC). To reduce the communicational and computational burdens, a distributed target tracking method is proposed. In this method, to reduce the numbers of false tracks and ghost tracks, the original bearings-only measurements are temporarily tracked without considering the bearing-ambiguity at each local PLAS using a linear multi-target integrated probabilistic data association (LM-IPDA) tracker, which can handle false track discrimination (FTD). Then, the estimated bearings-only measurements from each local tracker are transmitted to the FC, where multiple targets are tracked using the sequential LM-IPDA while considering the bearing-ambiguity problem. To further reduce the number of false tracks generated by the bearing-ambiguity, a novel measurement-to-track assignment method is proposed for the distributed tracking method. Simulations show that the proposed methods have high tracking accuracies, as well as fewer communicational and computational loads, for multi-target tracking with the Y-shaped PLAS system. | ||
| 700 | 1 | |a Xie, Yifan |4 oth | |
| 700 | 1 | |a Song, Taek Lyul |4 oth | |
| 773 | 0 | 8 | |i Enthalten in |n Elsevier Science Inc |a Petrruzziello, Carmelina ELSEVIER |t Mo1264 Clinical Characteristics of Inflammatory Bowel Disease May Influence the Cancer Risk When Using Immunomodulators: Incident Cases of Cancer in a Multicenter Case-Control Study |d 2013 |d an international journal |g New York, NY |w (DE-627)ELV011843691 |
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10.1016/j.ins.2017.12.042 doi GBV00000000000497.pica (DE-627)ELV041766652 (ELSEVIER)S0020-0255(17)31162-3 DE-627 ger DE-627 rakwb eng 610 VZ 570 VZ BIODIV DE-30 fid 35.70 bkl 42.12 bkl 42.15 bkl Zhang, Qian verfasserin aut Distributed multi-target tracking with Y-shaped passive linear array sonars for effective ghost track elimination 2018transfer abstract 25 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Y-shaped passive linear array sonar (PLAS) systems are composed of three sensor legs that independently report bearings-only measurements with bearing-ambiguity. Given that many ghost targets are generated due to the bearing-ambiguity, multi-target tracking using a PLAS system is a challenging problem, especially when target miss-detection and clutter are also considered. Centralized methods in most cases can obtain good tracking performances. However, they suffer from heavy communicational burdens and computational loads, as all measurements generated by all sensors are sent to the fusion center (FC). To reduce the communicational and computational burdens, a distributed target tracking method is proposed. In this method, to reduce the numbers of false tracks and ghost tracks, the original bearings-only measurements are temporarily tracked without considering the bearing-ambiguity at each local PLAS using a linear multi-target integrated probabilistic data association (LM-IPDA) tracker, which can handle false track discrimination (FTD). Then, the estimated bearings-only measurements from each local tracker are transmitted to the FC, where multiple targets are tracked using the sequential LM-IPDA while considering the bearing-ambiguity problem. To further reduce the number of false tracks generated by the bearing-ambiguity, a novel measurement-to-track assignment method is proposed for the distributed tracking method. Simulations show that the proposed methods have high tracking accuracies, as well as fewer communicational and computational loads, for multi-target tracking with the Y-shaped PLAS system. Y-shaped passive linear array sonar (PLAS) systems are composed of three sensor legs that independently report bearings-only measurements with bearing-ambiguity. Given that many ghost targets are generated due to the bearing-ambiguity, multi-target tracking using a PLAS system is a challenging problem, especially when target miss-detection and clutter are also considered. Centralized methods in most cases can obtain good tracking performances. However, they suffer from heavy communicational burdens and computational loads, as all measurements generated by all sensors are sent to the fusion center (FC). To reduce the communicational and computational burdens, a distributed target tracking method is proposed. In this method, to reduce the numbers of false tracks and ghost tracks, the original bearings-only measurements are temporarily tracked without considering the bearing-ambiguity at each local PLAS using a linear multi-target integrated probabilistic data association (LM-IPDA) tracker, which can handle false track discrimination (FTD). Then, the estimated bearings-only measurements from each local tracker are transmitted to the FC, where multiple targets are tracked using the sequential LM-IPDA while considering the bearing-ambiguity problem. To further reduce the number of false tracks generated by the bearing-ambiguity, a novel measurement-to-track assignment method is proposed for the distributed tracking method. Simulations show that the proposed methods have high tracking accuracies, as well as fewer communicational and computational loads, for multi-target tracking with the Y-shaped PLAS system. Xie, Yifan oth Song, Taek Lyul oth Enthalten in Elsevier Science Inc Petrruzziello, Carmelina ELSEVIER Mo1264 Clinical Characteristics of Inflammatory Bowel Disease May Influence the Cancer Risk When Using Immunomodulators: Incident Cases of Cancer in a Multicenter Case-Control Study 2013 an international journal New York, NY (DE-627)ELV011843691 volume:433 year:2018 pages:163-187 extent:25 https://doi.org/10.1016/j.ins.2017.12.042 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-BIODIV SSG-OLC-PHA 35.70 Biochemie: Allgemeines VZ 42.12 Biophysik VZ 42.15 Zellbiologie VZ AR 433 2018 163-187 25 |
| spelling |
10.1016/j.ins.2017.12.042 doi GBV00000000000497.pica (DE-627)ELV041766652 (ELSEVIER)S0020-0255(17)31162-3 DE-627 ger DE-627 rakwb eng 610 VZ 570 VZ BIODIV DE-30 fid 35.70 bkl 42.12 bkl 42.15 bkl Zhang, Qian verfasserin aut Distributed multi-target tracking with Y-shaped passive linear array sonars for effective ghost track elimination 2018transfer abstract 25 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Y-shaped passive linear array sonar (PLAS) systems are composed of three sensor legs that independently report bearings-only measurements with bearing-ambiguity. Given that many ghost targets are generated due to the bearing-ambiguity, multi-target tracking using a PLAS system is a challenging problem, especially when target miss-detection and clutter are also considered. Centralized methods in most cases can obtain good tracking performances. However, they suffer from heavy communicational burdens and computational loads, as all measurements generated by all sensors are sent to the fusion center (FC). To reduce the communicational and computational burdens, a distributed target tracking method is proposed. In this method, to reduce the numbers of false tracks and ghost tracks, the original bearings-only measurements are temporarily tracked without considering the bearing-ambiguity at each local PLAS using a linear multi-target integrated probabilistic data association (LM-IPDA) tracker, which can handle false track discrimination (FTD). Then, the estimated bearings-only measurements from each local tracker are transmitted to the FC, where multiple targets are tracked using the sequential LM-IPDA while considering the bearing-ambiguity problem. To further reduce the number of false tracks generated by the bearing-ambiguity, a novel measurement-to-track assignment method is proposed for the distributed tracking method. Simulations show that the proposed methods have high tracking accuracies, as well as fewer communicational and computational loads, for multi-target tracking with the Y-shaped PLAS system. Y-shaped passive linear array sonar (PLAS) systems are composed of three sensor legs that independently report bearings-only measurements with bearing-ambiguity. Given that many ghost targets are generated due to the bearing-ambiguity, multi-target tracking using a PLAS system is a challenging problem, especially when target miss-detection and clutter are also considered. Centralized methods in most cases can obtain good tracking performances. However, they suffer from heavy communicational burdens and computational loads, as all measurements generated by all sensors are sent to the fusion center (FC). To reduce the communicational and computational burdens, a distributed target tracking method is proposed. In this method, to reduce the numbers of false tracks and ghost tracks, the original bearings-only measurements are temporarily tracked without considering the bearing-ambiguity at each local PLAS using a linear multi-target integrated probabilistic data association (LM-IPDA) tracker, which can handle false track discrimination (FTD). Then, the estimated bearings-only measurements from each local tracker are transmitted to the FC, where multiple targets are tracked using the sequential LM-IPDA while considering the bearing-ambiguity problem. To further reduce the number of false tracks generated by the bearing-ambiguity, a novel measurement-to-track assignment method is proposed for the distributed tracking method. Simulations show that the proposed methods have high tracking accuracies, as well as fewer communicational and computational loads, for multi-target tracking with the Y-shaped PLAS system. Xie, Yifan oth Song, Taek Lyul oth Enthalten in Elsevier Science Inc Petrruzziello, Carmelina ELSEVIER Mo1264 Clinical Characteristics of Inflammatory Bowel Disease May Influence the Cancer Risk When Using Immunomodulators: Incident Cases of Cancer in a Multicenter Case-Control Study 2013 an international journal New York, NY (DE-627)ELV011843691 volume:433 year:2018 pages:163-187 extent:25 https://doi.org/10.1016/j.ins.2017.12.042 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-BIODIV SSG-OLC-PHA 35.70 Biochemie: Allgemeines VZ 42.12 Biophysik VZ 42.15 Zellbiologie VZ AR 433 2018 163-187 25 |
| allfields_unstemmed |
10.1016/j.ins.2017.12.042 doi GBV00000000000497.pica (DE-627)ELV041766652 (ELSEVIER)S0020-0255(17)31162-3 DE-627 ger DE-627 rakwb eng 610 VZ 570 VZ BIODIV DE-30 fid 35.70 bkl 42.12 bkl 42.15 bkl Zhang, Qian verfasserin aut Distributed multi-target tracking with Y-shaped passive linear array sonars for effective ghost track elimination 2018transfer abstract 25 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Y-shaped passive linear array sonar (PLAS) systems are composed of three sensor legs that independently report bearings-only measurements with bearing-ambiguity. Given that many ghost targets are generated due to the bearing-ambiguity, multi-target tracking using a PLAS system is a challenging problem, especially when target miss-detection and clutter are also considered. Centralized methods in most cases can obtain good tracking performances. However, they suffer from heavy communicational burdens and computational loads, as all measurements generated by all sensors are sent to the fusion center (FC). To reduce the communicational and computational burdens, a distributed target tracking method is proposed. In this method, to reduce the numbers of false tracks and ghost tracks, the original bearings-only measurements are temporarily tracked without considering the bearing-ambiguity at each local PLAS using a linear multi-target integrated probabilistic data association (LM-IPDA) tracker, which can handle false track discrimination (FTD). Then, the estimated bearings-only measurements from each local tracker are transmitted to the FC, where multiple targets are tracked using the sequential LM-IPDA while considering the bearing-ambiguity problem. To further reduce the number of false tracks generated by the bearing-ambiguity, a novel measurement-to-track assignment method is proposed for the distributed tracking method. Simulations show that the proposed methods have high tracking accuracies, as well as fewer communicational and computational loads, for multi-target tracking with the Y-shaped PLAS system. Y-shaped passive linear array sonar (PLAS) systems are composed of three sensor legs that independently report bearings-only measurements with bearing-ambiguity. Given that many ghost targets are generated due to the bearing-ambiguity, multi-target tracking using a PLAS system is a challenging problem, especially when target miss-detection and clutter are also considered. Centralized methods in most cases can obtain good tracking performances. However, they suffer from heavy communicational burdens and computational loads, as all measurements generated by all sensors are sent to the fusion center (FC). To reduce the communicational and computational burdens, a distributed target tracking method is proposed. In this method, to reduce the numbers of false tracks and ghost tracks, the original bearings-only measurements are temporarily tracked without considering the bearing-ambiguity at each local PLAS using a linear multi-target integrated probabilistic data association (LM-IPDA) tracker, which can handle false track discrimination (FTD). Then, the estimated bearings-only measurements from each local tracker are transmitted to the FC, where multiple targets are tracked using the sequential LM-IPDA while considering the bearing-ambiguity problem. To further reduce the number of false tracks generated by the bearing-ambiguity, a novel measurement-to-track assignment method is proposed for the distributed tracking method. Simulations show that the proposed methods have high tracking accuracies, as well as fewer communicational and computational loads, for multi-target tracking with the Y-shaped PLAS system. Xie, Yifan oth Song, Taek Lyul oth Enthalten in Elsevier Science Inc Petrruzziello, Carmelina ELSEVIER Mo1264 Clinical Characteristics of Inflammatory Bowel Disease May Influence the Cancer Risk When Using Immunomodulators: Incident Cases of Cancer in a Multicenter Case-Control Study 2013 an international journal New York, NY (DE-627)ELV011843691 volume:433 year:2018 pages:163-187 extent:25 https://doi.org/10.1016/j.ins.2017.12.042 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-BIODIV SSG-OLC-PHA 35.70 Biochemie: Allgemeines VZ 42.12 Biophysik VZ 42.15 Zellbiologie VZ AR 433 2018 163-187 25 |
| allfieldsGer |
10.1016/j.ins.2017.12.042 doi GBV00000000000497.pica (DE-627)ELV041766652 (ELSEVIER)S0020-0255(17)31162-3 DE-627 ger DE-627 rakwb eng 610 VZ 570 VZ BIODIV DE-30 fid 35.70 bkl 42.12 bkl 42.15 bkl Zhang, Qian verfasserin aut Distributed multi-target tracking with Y-shaped passive linear array sonars for effective ghost track elimination 2018transfer abstract 25 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Y-shaped passive linear array sonar (PLAS) systems are composed of three sensor legs that independently report bearings-only measurements with bearing-ambiguity. Given that many ghost targets are generated due to the bearing-ambiguity, multi-target tracking using a PLAS system is a challenging problem, especially when target miss-detection and clutter are also considered. Centralized methods in most cases can obtain good tracking performances. However, they suffer from heavy communicational burdens and computational loads, as all measurements generated by all sensors are sent to the fusion center (FC). To reduce the communicational and computational burdens, a distributed target tracking method is proposed. In this method, to reduce the numbers of false tracks and ghost tracks, the original bearings-only measurements are temporarily tracked without considering the bearing-ambiguity at each local PLAS using a linear multi-target integrated probabilistic data association (LM-IPDA) tracker, which can handle false track discrimination (FTD). Then, the estimated bearings-only measurements from each local tracker are transmitted to the FC, where multiple targets are tracked using the sequential LM-IPDA while considering the bearing-ambiguity problem. To further reduce the number of false tracks generated by the bearing-ambiguity, a novel measurement-to-track assignment method is proposed for the distributed tracking method. Simulations show that the proposed methods have high tracking accuracies, as well as fewer communicational and computational loads, for multi-target tracking with the Y-shaped PLAS system. Y-shaped passive linear array sonar (PLAS) systems are composed of three sensor legs that independently report bearings-only measurements with bearing-ambiguity. Given that many ghost targets are generated due to the bearing-ambiguity, multi-target tracking using a PLAS system is a challenging problem, especially when target miss-detection and clutter are also considered. Centralized methods in most cases can obtain good tracking performances. However, they suffer from heavy communicational burdens and computational loads, as all measurements generated by all sensors are sent to the fusion center (FC). To reduce the communicational and computational burdens, a distributed target tracking method is proposed. In this method, to reduce the numbers of false tracks and ghost tracks, the original bearings-only measurements are temporarily tracked without considering the bearing-ambiguity at each local PLAS using a linear multi-target integrated probabilistic data association (LM-IPDA) tracker, which can handle false track discrimination (FTD). Then, the estimated bearings-only measurements from each local tracker are transmitted to the FC, where multiple targets are tracked using the sequential LM-IPDA while considering the bearing-ambiguity problem. To further reduce the number of false tracks generated by the bearing-ambiguity, a novel measurement-to-track assignment method is proposed for the distributed tracking method. Simulations show that the proposed methods have high tracking accuracies, as well as fewer communicational and computational loads, for multi-target tracking with the Y-shaped PLAS system. Xie, Yifan oth Song, Taek Lyul oth Enthalten in Elsevier Science Inc Petrruzziello, Carmelina ELSEVIER Mo1264 Clinical Characteristics of Inflammatory Bowel Disease May Influence the Cancer Risk When Using Immunomodulators: Incident Cases of Cancer in a Multicenter Case-Control Study 2013 an international journal New York, NY (DE-627)ELV011843691 volume:433 year:2018 pages:163-187 extent:25 https://doi.org/10.1016/j.ins.2017.12.042 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-BIODIV SSG-OLC-PHA 35.70 Biochemie: Allgemeines VZ 42.12 Biophysik VZ 42.15 Zellbiologie VZ AR 433 2018 163-187 25 |
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10.1016/j.ins.2017.12.042 doi GBV00000000000497.pica (DE-627)ELV041766652 (ELSEVIER)S0020-0255(17)31162-3 DE-627 ger DE-627 rakwb eng 610 VZ 570 VZ BIODIV DE-30 fid 35.70 bkl 42.12 bkl 42.15 bkl Zhang, Qian verfasserin aut Distributed multi-target tracking with Y-shaped passive linear array sonars for effective ghost track elimination 2018transfer abstract 25 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Y-shaped passive linear array sonar (PLAS) systems are composed of three sensor legs that independently report bearings-only measurements with bearing-ambiguity. Given that many ghost targets are generated due to the bearing-ambiguity, multi-target tracking using a PLAS system is a challenging problem, especially when target miss-detection and clutter are also considered. Centralized methods in most cases can obtain good tracking performances. However, they suffer from heavy communicational burdens and computational loads, as all measurements generated by all sensors are sent to the fusion center (FC). To reduce the communicational and computational burdens, a distributed target tracking method is proposed. In this method, to reduce the numbers of false tracks and ghost tracks, the original bearings-only measurements are temporarily tracked without considering the bearing-ambiguity at each local PLAS using a linear multi-target integrated probabilistic data association (LM-IPDA) tracker, which can handle false track discrimination (FTD). Then, the estimated bearings-only measurements from each local tracker are transmitted to the FC, where multiple targets are tracked using the sequential LM-IPDA while considering the bearing-ambiguity problem. To further reduce the number of false tracks generated by the bearing-ambiguity, a novel measurement-to-track assignment method is proposed for the distributed tracking method. Simulations show that the proposed methods have high tracking accuracies, as well as fewer communicational and computational loads, for multi-target tracking with the Y-shaped PLAS system. Y-shaped passive linear array sonar (PLAS) systems are composed of three sensor legs that independently report bearings-only measurements with bearing-ambiguity. Given that many ghost targets are generated due to the bearing-ambiguity, multi-target tracking using a PLAS system is a challenging problem, especially when target miss-detection and clutter are also considered. Centralized methods in most cases can obtain good tracking performances. However, they suffer from heavy communicational burdens and computational loads, as all measurements generated by all sensors are sent to the fusion center (FC). To reduce the communicational and computational burdens, a distributed target tracking method is proposed. In this method, to reduce the numbers of false tracks and ghost tracks, the original bearings-only measurements are temporarily tracked without considering the bearing-ambiguity at each local PLAS using a linear multi-target integrated probabilistic data association (LM-IPDA) tracker, which can handle false track discrimination (FTD). Then, the estimated bearings-only measurements from each local tracker are transmitted to the FC, where multiple targets are tracked using the sequential LM-IPDA while considering the bearing-ambiguity problem. To further reduce the number of false tracks generated by the bearing-ambiguity, a novel measurement-to-track assignment method is proposed for the distributed tracking method. Simulations show that the proposed methods have high tracking accuracies, as well as fewer communicational and computational loads, for multi-target tracking with the Y-shaped PLAS system. Xie, Yifan oth Song, Taek Lyul oth Enthalten in Elsevier Science Inc Petrruzziello, Carmelina ELSEVIER Mo1264 Clinical Characteristics of Inflammatory Bowel Disease May Influence the Cancer Risk When Using Immunomodulators: Incident Cases of Cancer in a Multicenter Case-Control Study 2013 an international journal New York, NY (DE-627)ELV011843691 volume:433 year:2018 pages:163-187 extent:25 https://doi.org/10.1016/j.ins.2017.12.042 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-BIODIV SSG-OLC-PHA 35.70 Biochemie: Allgemeines VZ 42.12 Biophysik VZ 42.15 Zellbiologie VZ AR 433 2018 163-187 25 |
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Enthalten in Mo1264 Clinical Characteristics of Inflammatory Bowel Disease May Influence the Cancer Risk When Using Immunomodulators: Incident Cases of Cancer in a Multicenter Case-Control Study New York, NY volume:433 year:2018 pages:163-187 extent:25 |
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Enthalten in Mo1264 Clinical Characteristics of Inflammatory Bowel Disease May Influence the Cancer Risk When Using Immunomodulators: Incident Cases of Cancer in a Multicenter Case-Control Study New York, NY volume:433 year:2018 pages:163-187 extent:25 |
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Mo1264 Clinical Characteristics of Inflammatory Bowel Disease May Influence the Cancer Risk When Using Immunomodulators: Incident Cases of Cancer in a Multicenter Case-Control Study |
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distributed multi-target tracking with y-shaped passive linear array sonars for effective ghost track elimination |
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Distributed multi-target tracking with Y-shaped passive linear array sonars for effective ghost track elimination |
| abstract |
Y-shaped passive linear array sonar (PLAS) systems are composed of three sensor legs that independently report bearings-only measurements with bearing-ambiguity. Given that many ghost targets are generated due to the bearing-ambiguity, multi-target tracking using a PLAS system is a challenging problem, especially when target miss-detection and clutter are also considered. Centralized methods in most cases can obtain good tracking performances. However, they suffer from heavy communicational burdens and computational loads, as all measurements generated by all sensors are sent to the fusion center (FC). To reduce the communicational and computational burdens, a distributed target tracking method is proposed. In this method, to reduce the numbers of false tracks and ghost tracks, the original bearings-only measurements are temporarily tracked without considering the bearing-ambiguity at each local PLAS using a linear multi-target integrated probabilistic data association (LM-IPDA) tracker, which can handle false track discrimination (FTD). Then, the estimated bearings-only measurements from each local tracker are transmitted to the FC, where multiple targets are tracked using the sequential LM-IPDA while considering the bearing-ambiguity problem. To further reduce the number of false tracks generated by the bearing-ambiguity, a novel measurement-to-track assignment method is proposed for the distributed tracking method. Simulations show that the proposed methods have high tracking accuracies, as well as fewer communicational and computational loads, for multi-target tracking with the Y-shaped PLAS system. |
| abstractGer |
Y-shaped passive linear array sonar (PLAS) systems are composed of three sensor legs that independently report bearings-only measurements with bearing-ambiguity. Given that many ghost targets are generated due to the bearing-ambiguity, multi-target tracking using a PLAS system is a challenging problem, especially when target miss-detection and clutter are also considered. Centralized methods in most cases can obtain good tracking performances. However, they suffer from heavy communicational burdens and computational loads, as all measurements generated by all sensors are sent to the fusion center (FC). To reduce the communicational and computational burdens, a distributed target tracking method is proposed. In this method, to reduce the numbers of false tracks and ghost tracks, the original bearings-only measurements are temporarily tracked without considering the bearing-ambiguity at each local PLAS using a linear multi-target integrated probabilistic data association (LM-IPDA) tracker, which can handle false track discrimination (FTD). Then, the estimated bearings-only measurements from each local tracker are transmitted to the FC, where multiple targets are tracked using the sequential LM-IPDA while considering the bearing-ambiguity problem. To further reduce the number of false tracks generated by the bearing-ambiguity, a novel measurement-to-track assignment method is proposed for the distributed tracking method. Simulations show that the proposed methods have high tracking accuracies, as well as fewer communicational and computational loads, for multi-target tracking with the Y-shaped PLAS system. |
| abstract_unstemmed |
Y-shaped passive linear array sonar (PLAS) systems are composed of three sensor legs that independently report bearings-only measurements with bearing-ambiguity. Given that many ghost targets are generated due to the bearing-ambiguity, multi-target tracking using a PLAS system is a challenging problem, especially when target miss-detection and clutter are also considered. Centralized methods in most cases can obtain good tracking performances. However, they suffer from heavy communicational burdens and computational loads, as all measurements generated by all sensors are sent to the fusion center (FC). To reduce the communicational and computational burdens, a distributed target tracking method is proposed. In this method, to reduce the numbers of false tracks and ghost tracks, the original bearings-only measurements are temporarily tracked without considering the bearing-ambiguity at each local PLAS using a linear multi-target integrated probabilistic data association (LM-IPDA) tracker, which can handle false track discrimination (FTD). Then, the estimated bearings-only measurements from each local tracker are transmitted to the FC, where multiple targets are tracked using the sequential LM-IPDA while considering the bearing-ambiguity problem. To further reduce the number of false tracks generated by the bearing-ambiguity, a novel measurement-to-track assignment method is proposed for the distributed tracking method. Simulations show that the proposed methods have high tracking accuracies, as well as fewer communicational and computational loads, for multi-target tracking with the Y-shaped PLAS system. |
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