Efficient configuration calibration using ground auxiliary receivers at inaccurate locations

The target localization accuracy is very sensitive to the knowledge of radar positions in an airborne distributed system. However, perfect knowledge of radar positions is generally unavailable, leading to the degradation in the target localization accuracy and furthermore the deterioration in signal...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Liu, Xiaoyu [verfasserIn] Wang, Tong [verfasserIn] Chen, Jinming [verfasserIn] Wu, Jianxin [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2022

Schlagwörter:	Configuration calibration Airborne distributed radar system Weighted least squares (WLS) Coherent synthetic efficiency

Übergeordnetes Werk:	Enthalten in: Digital signal processing - Orlando, Fla. : Academic Press, 1991, 129
Übergeordnetes Werk:	volume:129

DOI / URN:	10.1016/j.dsp.2022.103675

Katalog-ID:	ELV008389381

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245	1	0	\|a Efficient configuration calibration using ground auxiliary receivers at inaccurate locations
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520			\|a The target localization accuracy is very sensitive to the knowledge of radar positions in an airborne distributed system. However, perfect knowledge of radar positions is generally unavailable, leading to the degradation in the target localization accuracy and furthermore the deterioration in signal coherence at the destination. Thus, this work deals with the configuration calibration problem in the airborne distributed system with the assistance of several ground auxiliary receivers (GARs) at inaccurate positions, such that absolute radar positions can be obtainable through jointly using the inter-radar direct path time measurements (DPTMs) and external DPTMs from radars to GARs. The analysis on Bayesian Cramer-Rao lower bound (BCRLB) affirms the required minimum of GARs is two for precise calibration, provided that the position of a radar and orientation from the projection of the radar on the ground to a GAR are known. It proceeds to introduce the idea of iteration and second-order Taylor series expansion to enable the formulation of the pseudolinear estimator relating radar and GAR positions. The previous work is also extended to a more practical scenario, where exact positions of GARs are inaccessible. Simulations confirm well with the theoretical developments.
650		4	\|a Configuration calibration
650		4	\|a Airborne distributed radar system
650		4	\|a Weighted least squares (WLS)
650		4	\|a Coherent synthetic efficiency
700	1		\|a Wang, Tong \|e verfasserin \|0 (orcid)0000-0002-2664-1354 \|4 aut
700	1		\|a Chen, Jinming \|e verfasserin \|4 aut
700	1		\|a Wu, Jianxin \|e verfasserin \|4 aut
773	0	8	\|i Enthalten in \|t Digital signal processing \|d Orlando, Fla. : Academic Press, 1991 \|g 129 \|h Online-Ressource \|w (DE-627)254910319 \|w (DE-600)1463243-3 \|w (DE-576)114818002 \|x 1051-2004 \|7 nnns
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912			\|a GBV_ILN_70
912			\|a GBV_ILN_73
912			\|a GBV_ILN_74
912			\|a GBV_ILN_90
912			\|a GBV_ILN_95
912			\|a GBV_ILN_100
912			\|a GBV_ILN_105
912			\|a GBV_ILN_110
912			\|a GBV_ILN_150
912			\|a GBV_ILN_151
912			\|a GBV_ILN_224
912			\|a GBV_ILN_370
912			\|a GBV_ILN_602
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912			\|a GBV_ILN_2038
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912			\|a GBV_ILN_2048
912			\|a GBV_ILN_2049
912			\|a GBV_ILN_2050
912			\|a GBV_ILN_2055
912			\|a GBV_ILN_2056
912			\|a GBV_ILN_2059
912			\|a GBV_ILN_2061
912			\|a GBV_ILN_2064
912			\|a GBV_ILN_2065
912			\|a GBV_ILN_2068
912			\|a GBV_ILN_2088
912			\|a GBV_ILN_2111
912			\|a GBV_ILN_2112
912			\|a GBV_ILN_2113
912			\|a GBV_ILN_2118
912			\|a GBV_ILN_2122
912			\|a GBV_ILN_2129
912			\|a GBV_ILN_2143
912			\|a GBV_ILN_2147
912			\|a GBV_ILN_2148
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912			\|a GBV_ILN_4393
936	b	k	\|a 53.73 \|j Nachrichtenübertragung
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952			\|d 129

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allfields	10.1016/j.dsp.2022.103675 doi (DE-627)ELV008389381 (ELSEVIER)S1051-2004(22)00292-5 DE-627 ger DE-627 rda eng 620 DE-600 53.73 bkl Liu, Xiaoyu verfasserin aut Efficient configuration calibration using ground auxiliary receivers at inaccurate locations 2022 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The target localization accuracy is very sensitive to the knowledge of radar positions in an airborne distributed system. However, perfect knowledge of radar positions is generally unavailable, leading to the degradation in the target localization accuracy and furthermore the deterioration in signal coherence at the destination. Thus, this work deals with the configuration calibration problem in the airborne distributed system with the assistance of several ground auxiliary receivers (GARs) at inaccurate positions, such that absolute radar positions can be obtainable through jointly using the inter-radar direct path time measurements (DPTMs) and external DPTMs from radars to GARs. The analysis on Bayesian Cramer-Rao lower bound (BCRLB) affirms the required minimum of GARs is two for precise calibration, provided that the position of a radar and orientation from the projection of the radar on the ground to a GAR are known. It proceeds to introduce the idea of iteration and second-order Taylor series expansion to enable the formulation of the pseudolinear estimator relating radar and GAR positions. The previous work is also extended to a more practical scenario, where exact positions of GARs are inaccessible. Simulations confirm well with the theoretical developments. Configuration calibration Airborne distributed radar system Weighted least squares (WLS) Coherent synthetic efficiency Wang, Tong verfasserin (orcid)0000-0002-2664-1354 aut Chen, Jinming verfasserin aut Wu, Jianxin verfasserin aut Enthalten in Digital signal processing Orlando, Fla. : Academic Press, 1991 129 Online-Ressource (DE-627)254910319 (DE-600)1463243-3 (DE-576)114818002 1051-2004 nnns volume:129 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 53.73 Nachrichtenübertragung AR 129
spelling	10.1016/j.dsp.2022.103675 doi (DE-627)ELV008389381 (ELSEVIER)S1051-2004(22)00292-5 DE-627 ger DE-627 rda eng 620 DE-600 53.73 bkl Liu, Xiaoyu verfasserin aut Efficient configuration calibration using ground auxiliary receivers at inaccurate locations 2022 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The target localization accuracy is very sensitive to the knowledge of radar positions in an airborne distributed system. However, perfect knowledge of radar positions is generally unavailable, leading to the degradation in the target localization accuracy and furthermore the deterioration in signal coherence at the destination. Thus, this work deals with the configuration calibration problem in the airborne distributed system with the assistance of several ground auxiliary receivers (GARs) at inaccurate positions, such that absolute radar positions can be obtainable through jointly using the inter-radar direct path time measurements (DPTMs) and external DPTMs from radars to GARs. The analysis on Bayesian Cramer-Rao lower bound (BCRLB) affirms the required minimum of GARs is two for precise calibration, provided that the position of a radar and orientation from the projection of the radar on the ground to a GAR are known. It proceeds to introduce the idea of iteration and second-order Taylor series expansion to enable the formulation of the pseudolinear estimator relating radar and GAR positions. The previous work is also extended to a more practical scenario, where exact positions of GARs are inaccessible. Simulations confirm well with the theoretical developments. Configuration calibration Airborne distributed radar system Weighted least squares (WLS) Coherent synthetic efficiency Wang, Tong verfasserin (orcid)0000-0002-2664-1354 aut Chen, Jinming verfasserin aut Wu, Jianxin verfasserin aut Enthalten in Digital signal processing Orlando, Fla. : Academic Press, 1991 129 Online-Ressource (DE-627)254910319 (DE-600)1463243-3 (DE-576)114818002 1051-2004 nnns volume:129 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 53.73 Nachrichtenübertragung AR 129
allfields_unstemmed	10.1016/j.dsp.2022.103675 doi (DE-627)ELV008389381 (ELSEVIER)S1051-2004(22)00292-5 DE-627 ger DE-627 rda eng 620 DE-600 53.73 bkl Liu, Xiaoyu verfasserin aut Efficient configuration calibration using ground auxiliary receivers at inaccurate locations 2022 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The target localization accuracy is very sensitive to the knowledge of radar positions in an airborne distributed system. However, perfect knowledge of radar positions is generally unavailable, leading to the degradation in the target localization accuracy and furthermore the deterioration in signal coherence at the destination. Thus, this work deals with the configuration calibration problem in the airborne distributed system with the assistance of several ground auxiliary receivers (GARs) at inaccurate positions, such that absolute radar positions can be obtainable through jointly using the inter-radar direct path time measurements (DPTMs) and external DPTMs from radars to GARs. The analysis on Bayesian Cramer-Rao lower bound (BCRLB) affirms the required minimum of GARs is two for precise calibration, provided that the position of a radar and orientation from the projection of the radar on the ground to a GAR are known. It proceeds to introduce the idea of iteration and second-order Taylor series expansion to enable the formulation of the pseudolinear estimator relating radar and GAR positions. The previous work is also extended to a more practical scenario, where exact positions of GARs are inaccessible. Simulations confirm well with the theoretical developments. Configuration calibration Airborne distributed radar system Weighted least squares (WLS) Coherent synthetic efficiency Wang, Tong verfasserin (orcid)0000-0002-2664-1354 aut Chen, Jinming verfasserin aut Wu, Jianxin verfasserin aut Enthalten in Digital signal processing Orlando, Fla. : Academic Press, 1991 129 Online-Ressource (DE-627)254910319 (DE-600)1463243-3 (DE-576)114818002 1051-2004 nnns volume:129 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 53.73 Nachrichtenübertragung AR 129
allfieldsGer	10.1016/j.dsp.2022.103675 doi (DE-627)ELV008389381 (ELSEVIER)S1051-2004(22)00292-5 DE-627 ger DE-627 rda eng 620 DE-600 53.73 bkl Liu, Xiaoyu verfasserin aut Efficient configuration calibration using ground auxiliary receivers at inaccurate locations 2022 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The target localization accuracy is very sensitive to the knowledge of radar positions in an airborne distributed system. However, perfect knowledge of radar positions is generally unavailable, leading to the degradation in the target localization accuracy and furthermore the deterioration in signal coherence at the destination. Thus, this work deals with the configuration calibration problem in the airborne distributed system with the assistance of several ground auxiliary receivers (GARs) at inaccurate positions, such that absolute radar positions can be obtainable through jointly using the inter-radar direct path time measurements (DPTMs) and external DPTMs from radars to GARs. The analysis on Bayesian Cramer-Rao lower bound (BCRLB) affirms the required minimum of GARs is two for precise calibration, provided that the position of a radar and orientation from the projection of the radar on the ground to a GAR are known. It proceeds to introduce the idea of iteration and second-order Taylor series expansion to enable the formulation of the pseudolinear estimator relating radar and GAR positions. The previous work is also extended to a more practical scenario, where exact positions of GARs are inaccessible. Simulations confirm well with the theoretical developments. Configuration calibration Airborne distributed radar system Weighted least squares (WLS) Coherent synthetic efficiency Wang, Tong verfasserin (orcid)0000-0002-2664-1354 aut Chen, Jinming verfasserin aut Wu, Jianxin verfasserin aut Enthalten in Digital signal processing Orlando, Fla. : Academic Press, 1991 129 Online-Ressource (DE-627)254910319 (DE-600)1463243-3 (DE-576)114818002 1051-2004 nnns volume:129 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 53.73 Nachrichtenübertragung AR 129
allfieldsSound	10.1016/j.dsp.2022.103675 doi (DE-627)ELV008389381 (ELSEVIER)S1051-2004(22)00292-5 DE-627 ger DE-627 rda eng 620 DE-600 53.73 bkl Liu, Xiaoyu verfasserin aut Efficient configuration calibration using ground auxiliary receivers at inaccurate locations 2022 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The target localization accuracy is very sensitive to the knowledge of radar positions in an airborne distributed system. However, perfect knowledge of radar positions is generally unavailable, leading to the degradation in the target localization accuracy and furthermore the deterioration in signal coherence at the destination. Thus, this work deals with the configuration calibration problem in the airborne distributed system with the assistance of several ground auxiliary receivers (GARs) at inaccurate positions, such that absolute radar positions can be obtainable through jointly using the inter-radar direct path time measurements (DPTMs) and external DPTMs from radars to GARs. The analysis on Bayesian Cramer-Rao lower bound (BCRLB) affirms the required minimum of GARs is two for precise calibration, provided that the position of a radar and orientation from the projection of the radar on the ground to a GAR are known. It proceeds to introduce the idea of iteration and second-order Taylor series expansion to enable the formulation of the pseudolinear estimator relating radar and GAR positions. The previous work is also extended to a more practical scenario, where exact positions of GARs are inaccessible. Simulations confirm well with the theoretical developments. Configuration calibration Airborne distributed radar system Weighted least squares (WLS) Coherent synthetic efficiency Wang, Tong verfasserin (orcid)0000-0002-2664-1354 aut Chen, Jinming verfasserin aut Wu, Jianxin verfasserin aut Enthalten in Digital signal processing Orlando, Fla. : Academic Press, 1991 129 Online-Ressource (DE-627)254910319 (DE-600)1463243-3 (DE-576)114818002 1051-2004 nnns volume:129 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 53.73 Nachrichtenübertragung AR 129
language	English
source	Enthalten in Digital signal processing 129 volume:129
sourceStr	Enthalten in Digital signal processing 129 volume:129
format_phy_str_mv	Article
bklname	Nachrichtenübertragung
institution	findex.gbv.de
topic_facet	Configuration calibration Airborne distributed radar system Weighted least squares (WLS) Coherent synthetic efficiency
dewey-raw	620
isfreeaccess_bool	false
container_title	Digital signal processing
authorswithroles_txt_mv	Liu, Xiaoyu @@aut@@ Wang, Tong @@aut@@ Chen, Jinming @@aut@@ Wu, Jianxin @@aut@@
publishDateDaySort_date	2022-01-01T00:00:00Z
hierarchy_top_id	254910319
dewey-sort	3620
id	ELV008389381
language_de	englisch
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author	Liu, Xiaoyu
spellingShingle	Liu, Xiaoyu ddc 620 bkl 53.73 misc Configuration calibration misc Airborne distributed radar system misc Weighted least squares (WLS) misc Coherent synthetic efficiency Efficient configuration calibration using ground auxiliary receivers at inaccurate locations
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topic_title	620 DE-600 53.73 bkl Efficient configuration calibration using ground auxiliary receivers at inaccurate locations Configuration calibration Airborne distributed radar system Weighted least squares (WLS) Coherent synthetic efficiency
topic	ddc 620 bkl 53.73 misc Configuration calibration misc Airborne distributed radar system misc Weighted least squares (WLS) misc Coherent synthetic efficiency
topic_unstemmed	ddc 620 bkl 53.73 misc Configuration calibration misc Airborne distributed radar system misc Weighted least squares (WLS) misc Coherent synthetic efficiency
topic_browse	ddc 620 bkl 53.73 misc Configuration calibration misc Airborne distributed radar system misc Weighted least squares (WLS) misc Coherent synthetic efficiency
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title	Efficient configuration calibration using ground auxiliary receivers at inaccurate locations
ctrlnum	(DE-627)ELV008389381 (ELSEVIER)S1051-2004(22)00292-5
title_full	Efficient configuration calibration using ground auxiliary receivers at inaccurate locations
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author_browse	Liu, Xiaoyu Wang, Tong Chen, Jinming Wu, Jianxin
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title_sort	efficient configuration calibration using ground auxiliary receivers at inaccurate locations
title_auth	Efficient configuration calibration using ground auxiliary receivers at inaccurate locations
abstract	The target localization accuracy is very sensitive to the knowledge of radar positions in an airborne distributed system. However, perfect knowledge of radar positions is generally unavailable, leading to the degradation in the target localization accuracy and furthermore the deterioration in signal coherence at the destination. Thus, this work deals with the configuration calibration problem in the airborne distributed system with the assistance of several ground auxiliary receivers (GARs) at inaccurate positions, such that absolute radar positions can be obtainable through jointly using the inter-radar direct path time measurements (DPTMs) and external DPTMs from radars to GARs. The analysis on Bayesian Cramer-Rao lower bound (BCRLB) affirms the required minimum of GARs is two for precise calibration, provided that the position of a radar and orientation from the projection of the radar on the ground to a GAR are known. It proceeds to introduce the idea of iteration and second-order Taylor series expansion to enable the formulation of the pseudolinear estimator relating radar and GAR positions. The previous work is also extended to a more practical scenario, where exact positions of GARs are inaccessible. Simulations confirm well with the theoretical developments.
abstractGer	The target localization accuracy is very sensitive to the knowledge of radar positions in an airborne distributed system. However, perfect knowledge of radar positions is generally unavailable, leading to the degradation in the target localization accuracy and furthermore the deterioration in signal coherence at the destination. Thus, this work deals with the configuration calibration problem in the airborne distributed system with the assistance of several ground auxiliary receivers (GARs) at inaccurate positions, such that absolute radar positions can be obtainable through jointly using the inter-radar direct path time measurements (DPTMs) and external DPTMs from radars to GARs. The analysis on Bayesian Cramer-Rao lower bound (BCRLB) affirms the required minimum of GARs is two for precise calibration, provided that the position of a radar and orientation from the projection of the radar on the ground to a GAR are known. It proceeds to introduce the idea of iteration and second-order Taylor series expansion to enable the formulation of the pseudolinear estimator relating radar and GAR positions. The previous work is also extended to a more practical scenario, where exact positions of GARs are inaccessible. Simulations confirm well with the theoretical developments.
abstract_unstemmed	The target localization accuracy is very sensitive to the knowledge of radar positions in an airborne distributed system. However, perfect knowledge of radar positions is generally unavailable, leading to the degradation in the target localization accuracy and furthermore the deterioration in signal coherence at the destination. Thus, this work deals with the configuration calibration problem in the airborne distributed system with the assistance of several ground auxiliary receivers (GARs) at inaccurate positions, such that absolute radar positions can be obtainable through jointly using the inter-radar direct path time measurements (DPTMs) and external DPTMs from radars to GARs. The analysis on Bayesian Cramer-Rao lower bound (BCRLB) affirms the required minimum of GARs is two for precise calibration, provided that the position of a radar and orientation from the projection of the radar on the ground to a GAR are known. It proceeds to introduce the idea of iteration and second-order Taylor series expansion to enable the formulation of the pseudolinear estimator relating radar and GAR positions. The previous work is also extended to a more practical scenario, where exact positions of GARs are inaccessible. Simulations confirm well with the theoretical developments.
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title_short	Efficient configuration calibration using ground auxiliary receivers at inaccurate locations
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author2	Wang, Tong Chen, Jinming Wu, Jianxin
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doi_str	10.1016/j.dsp.2022.103675
up_date	2024-07-06T19:32:10.065Z
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Efficient configuration calibration using ground auxiliary receivers at inaccurate locations

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