Distributed Clustering Method Based on Spatial Information

Radar pulse deinterleaving is the core part of electronic reconnaissance system, which is responsible for sorting out the pulses coming from different emitters. In the process of signal deinterleaving, parameter clustering is an important method. The features for clustering are mainly derived from p...
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Autor*in:	Xin Dong [verfasserIn] Yan Liang [verfasserIn] Jie Wang [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2022

Schlagwörter:	Clustering distribution radar emitter signal deinterleaving spatial information

Übergeordnetes Werk:	In: IEEE Access - IEEE, 2014, 10(2022), Seite 53143-53152
Übergeordnetes Werk:	volume:10 ; year:2022 ; pages:53143-53152

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.1109/ACCESS.2022.3175879

Katalog-ID:	DOAJ041992148

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520			\|a Radar pulse deinterleaving is the core part of electronic reconnaissance system, which is responsible for sorting out the pulses coming from different emitters. In the process of signal deinterleaving, parameter clustering is an important method. The features for clustering are mainly derived from pulse parameters emitted by the radiation source transmitter. When the multiple target signals are seriously mixed in a complex environment, the clustering accuracy decreases. To solve this problem, a distributed clustering method based on spatial information is proposed. First, a multi-node distributed system is built, one of the nodes is taken as the central node, and the pulse information transmitted by other nodes through the link is received. All pulses at the central node are jointly clustered according to the three parameters of radio frequency (RF), pulse width (PW) and time of arrival (TOA), forming an associated pulse description word (APDW). Then, the associated pulse is spatially marked based on its spatial information within the range of the target area of interest. Finally, the associated pulse is re-clustered using the marked information and pulse parameters to achieve effective target separation. The simulation results show that the method can overcome the influence of parameter agility and make full use of the spatial information of the target to improve the accuracy of pulse clustering.
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allfields	10.1109/ACCESS.2022.3175879 doi (DE-627)DOAJ041992148 (DE-599)DOAJ9f59448d79894c1baba4c3217dbf406a DE-627 ger DE-627 rakwb eng TK1-9971 Xin Dong verfasserin aut Distributed Clustering Method Based on Spatial Information 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Radar pulse deinterleaving is the core part of electronic reconnaissance system, which is responsible for sorting out the pulses coming from different emitters. In the process of signal deinterleaving, parameter clustering is an important method. The features for clustering are mainly derived from pulse parameters emitted by the radiation source transmitter. When the multiple target signals are seriously mixed in a complex environment, the clustering accuracy decreases. To solve this problem, a distributed clustering method based on spatial information is proposed. First, a multi-node distributed system is built, one of the nodes is taken as the central node, and the pulse information transmitted by other nodes through the link is received. All pulses at the central node are jointly clustered according to the three parameters of radio frequency (RF), pulse width (PW) and time of arrival (TOA), forming an associated pulse description word (APDW). Then, the associated pulse is spatially marked based on its spatial information within the range of the target area of interest. Finally, the associated pulse is re-clustered using the marked information and pulse parameters to achieve effective target separation. The simulation results show that the method can overcome the influence of parameter agility and make full use of the spatial information of the target to improve the accuracy of pulse clustering. Clustering distribution radar emitter signal deinterleaving spatial information Electrical engineering. Electronics. Nuclear engineering Yan Liang verfasserin aut Jie Wang verfasserin aut In IEEE Access IEEE, 2014 10(2022), Seite 53143-53152 (DE-627)728440385 (DE-600)2687964-5 21693536 nnns volume:10 year:2022 pages:53143-53152 https://doi.org/10.1109/ACCESS.2022.3175879 kostenfrei https://doaj.org/article/9f59448d79894c1baba4c3217dbf406a kostenfrei https://ieeexplore.ieee.org/document/9775962/ kostenfrei https://doaj.org/toc/2169-3536 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 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_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 10 2022 53143-53152
spelling	10.1109/ACCESS.2022.3175879 doi (DE-627)DOAJ041992148 (DE-599)DOAJ9f59448d79894c1baba4c3217dbf406a DE-627 ger DE-627 rakwb eng TK1-9971 Xin Dong verfasserin aut Distributed Clustering Method Based on Spatial Information 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Radar pulse deinterleaving is the core part of electronic reconnaissance system, which is responsible for sorting out the pulses coming from different emitters. In the process of signal deinterleaving, parameter clustering is an important method. The features for clustering are mainly derived from pulse parameters emitted by the radiation source transmitter. When the multiple target signals are seriously mixed in a complex environment, the clustering accuracy decreases. To solve this problem, a distributed clustering method based on spatial information is proposed. First, a multi-node distributed system is built, one of the nodes is taken as the central node, and the pulse information transmitted by other nodes through the link is received. All pulses at the central node are jointly clustered according to the three parameters of radio frequency (RF), pulse width (PW) and time of arrival (TOA), forming an associated pulse description word (APDW). Then, the associated pulse is spatially marked based on its spatial information within the range of the target area of interest. Finally, the associated pulse is re-clustered using the marked information and pulse parameters to achieve effective target separation. The simulation results show that the method can overcome the influence of parameter agility and make full use of the spatial information of the target to improve the accuracy of pulse clustering. Clustering distribution radar emitter signal deinterleaving spatial information Electrical engineering. Electronics. Nuclear engineering Yan Liang verfasserin aut Jie Wang verfasserin aut In IEEE Access IEEE, 2014 10(2022), Seite 53143-53152 (DE-627)728440385 (DE-600)2687964-5 21693536 nnns volume:10 year:2022 pages:53143-53152 https://doi.org/10.1109/ACCESS.2022.3175879 kostenfrei https://doaj.org/article/9f59448d79894c1baba4c3217dbf406a kostenfrei https://ieeexplore.ieee.org/document/9775962/ kostenfrei https://doaj.org/toc/2169-3536 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 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_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 10 2022 53143-53152
allfields_unstemmed	10.1109/ACCESS.2022.3175879 doi (DE-627)DOAJ041992148 (DE-599)DOAJ9f59448d79894c1baba4c3217dbf406a DE-627 ger DE-627 rakwb eng TK1-9971 Xin Dong verfasserin aut Distributed Clustering Method Based on Spatial Information 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Radar pulse deinterleaving is the core part of electronic reconnaissance system, which is responsible for sorting out the pulses coming from different emitters. In the process of signal deinterleaving, parameter clustering is an important method. The features for clustering are mainly derived from pulse parameters emitted by the radiation source transmitter. When the multiple target signals are seriously mixed in a complex environment, the clustering accuracy decreases. To solve this problem, a distributed clustering method based on spatial information is proposed. First, a multi-node distributed system is built, one of the nodes is taken as the central node, and the pulse information transmitted by other nodes through the link is received. All pulses at the central node are jointly clustered according to the three parameters of radio frequency (RF), pulse width (PW) and time of arrival (TOA), forming an associated pulse description word (APDW). Then, the associated pulse is spatially marked based on its spatial information within the range of the target area of interest. Finally, the associated pulse is re-clustered using the marked information and pulse parameters to achieve effective target separation. The simulation results show that the method can overcome the influence of parameter agility and make full use of the spatial information of the target to improve the accuracy of pulse clustering. Clustering distribution radar emitter signal deinterleaving spatial information Electrical engineering. Electronics. Nuclear engineering Yan Liang verfasserin aut Jie Wang verfasserin aut In IEEE Access IEEE, 2014 10(2022), Seite 53143-53152 (DE-627)728440385 (DE-600)2687964-5 21693536 nnns volume:10 year:2022 pages:53143-53152 https://doi.org/10.1109/ACCESS.2022.3175879 kostenfrei https://doaj.org/article/9f59448d79894c1baba4c3217dbf406a kostenfrei https://ieeexplore.ieee.org/document/9775962/ kostenfrei https://doaj.org/toc/2169-3536 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 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_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 10 2022 53143-53152
allfieldsGer	10.1109/ACCESS.2022.3175879 doi (DE-627)DOAJ041992148 (DE-599)DOAJ9f59448d79894c1baba4c3217dbf406a DE-627 ger DE-627 rakwb eng TK1-9971 Xin Dong verfasserin aut Distributed Clustering Method Based on Spatial Information 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Radar pulse deinterleaving is the core part of electronic reconnaissance system, which is responsible for sorting out the pulses coming from different emitters. In the process of signal deinterleaving, parameter clustering is an important method. The features for clustering are mainly derived from pulse parameters emitted by the radiation source transmitter. When the multiple target signals are seriously mixed in a complex environment, the clustering accuracy decreases. To solve this problem, a distributed clustering method based on spatial information is proposed. First, a multi-node distributed system is built, one of the nodes is taken as the central node, and the pulse information transmitted by other nodes through the link is received. All pulses at the central node are jointly clustered according to the three parameters of radio frequency (RF), pulse width (PW) and time of arrival (TOA), forming an associated pulse description word (APDW). Then, the associated pulse is spatially marked based on its spatial information within the range of the target area of interest. Finally, the associated pulse is re-clustered using the marked information and pulse parameters to achieve effective target separation. The simulation results show that the method can overcome the influence of parameter agility and make full use of the spatial information of the target to improve the accuracy of pulse clustering. Clustering distribution radar emitter signal deinterleaving spatial information Electrical engineering. Electronics. Nuclear engineering Yan Liang verfasserin aut Jie Wang verfasserin aut In IEEE Access IEEE, 2014 10(2022), Seite 53143-53152 (DE-627)728440385 (DE-600)2687964-5 21693536 nnns volume:10 year:2022 pages:53143-53152 https://doi.org/10.1109/ACCESS.2022.3175879 kostenfrei https://doaj.org/article/9f59448d79894c1baba4c3217dbf406a kostenfrei https://ieeexplore.ieee.org/document/9775962/ kostenfrei https://doaj.org/toc/2169-3536 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 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_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 10 2022 53143-53152
allfieldsSound	10.1109/ACCESS.2022.3175879 doi (DE-627)DOAJ041992148 (DE-599)DOAJ9f59448d79894c1baba4c3217dbf406a DE-627 ger DE-627 rakwb eng TK1-9971 Xin Dong verfasserin aut Distributed Clustering Method Based on Spatial Information 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Radar pulse deinterleaving is the core part of electronic reconnaissance system, which is responsible for sorting out the pulses coming from different emitters. In the process of signal deinterleaving, parameter clustering is an important method. The features for clustering are mainly derived from pulse parameters emitted by the radiation source transmitter. When the multiple target signals are seriously mixed in a complex environment, the clustering accuracy decreases. To solve this problem, a distributed clustering method based on spatial information is proposed. First, a multi-node distributed system is built, one of the nodes is taken as the central node, and the pulse information transmitted by other nodes through the link is received. All pulses at the central node are jointly clustered according to the three parameters of radio frequency (RF), pulse width (PW) and time of arrival (TOA), forming an associated pulse description word (APDW). Then, the associated pulse is spatially marked based on its spatial information within the range of the target area of interest. Finally, the associated pulse is re-clustered using the marked information and pulse parameters to achieve effective target separation. The simulation results show that the method can overcome the influence of parameter agility and make full use of the spatial information of the target to improve the accuracy of pulse clustering. Clustering distribution radar emitter signal deinterleaving spatial information Electrical engineering. Electronics. Nuclear engineering Yan Liang verfasserin aut Jie Wang verfasserin aut In IEEE Access IEEE, 2014 10(2022), Seite 53143-53152 (DE-627)728440385 (DE-600)2687964-5 21693536 nnns volume:10 year:2022 pages:53143-53152 https://doi.org/10.1109/ACCESS.2022.3175879 kostenfrei https://doaj.org/article/9f59448d79894c1baba4c3217dbf406a kostenfrei https://ieeexplore.ieee.org/document/9775962/ kostenfrei https://doaj.org/toc/2169-3536 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 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_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 10 2022 53143-53152
language	English
source	In IEEE Access 10(2022), Seite 53143-53152 volume:10 year:2022 pages:53143-53152
sourceStr	In IEEE Access 10(2022), Seite 53143-53152 volume:10 year:2022 pages:53143-53152
format_phy_str_mv	Article
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topic_facet	Clustering distribution radar emitter signal deinterleaving spatial information Electrical engineering. Electronics. Nuclear engineering
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container_title	IEEE Access
authorswithroles_txt_mv	Xin Dong @@aut@@ Yan Liang @@aut@@ Jie Wang @@aut@@
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callnumber-first	T - Technology
author	Xin Dong
spellingShingle	Xin Dong misc TK1-9971 misc Clustering misc distribution misc radar emitter misc signal deinterleaving misc spatial information misc Electrical engineering. Electronics. Nuclear engineering Distributed Clustering Method Based on Spatial Information
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topic_title	TK1-9971 Distributed Clustering Method Based on Spatial Information Clustering distribution radar emitter signal deinterleaving spatial information
topic	misc TK1-9971 misc Clustering misc distribution misc radar emitter misc signal deinterleaving misc spatial information misc Electrical engineering. Electronics. Nuclear engineering
topic_unstemmed	misc TK1-9971 misc Clustering misc distribution misc radar emitter misc signal deinterleaving misc spatial information misc Electrical engineering. Electronics. Nuclear engineering
topic_browse	misc TK1-9971 misc Clustering misc distribution misc radar emitter misc signal deinterleaving misc spatial information misc Electrical engineering. Electronics. Nuclear engineering
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title	Distributed Clustering Method Based on Spatial Information
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title_full	Distributed Clustering Method Based on Spatial Information
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title_sort	distributed clustering method based on spatial information
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title_auth	Distributed Clustering Method Based on Spatial Information
abstract	Radar pulse deinterleaving is the core part of electronic reconnaissance system, which is responsible for sorting out the pulses coming from different emitters. In the process of signal deinterleaving, parameter clustering is an important method. The features for clustering are mainly derived from pulse parameters emitted by the radiation source transmitter. When the multiple target signals are seriously mixed in a complex environment, the clustering accuracy decreases. To solve this problem, a distributed clustering method based on spatial information is proposed. First, a multi-node distributed system is built, one of the nodes is taken as the central node, and the pulse information transmitted by other nodes through the link is received. All pulses at the central node are jointly clustered according to the three parameters of radio frequency (RF), pulse width (PW) and time of arrival (TOA), forming an associated pulse description word (APDW). Then, the associated pulse is spatially marked based on its spatial information within the range of the target area of interest. Finally, the associated pulse is re-clustered using the marked information and pulse parameters to achieve effective target separation. The simulation results show that the method can overcome the influence of parameter agility and make full use of the spatial information of the target to improve the accuracy of pulse clustering.
abstractGer	Radar pulse deinterleaving is the core part of electronic reconnaissance system, which is responsible for sorting out the pulses coming from different emitters. In the process of signal deinterleaving, parameter clustering is an important method. The features for clustering are mainly derived from pulse parameters emitted by the radiation source transmitter. When the multiple target signals are seriously mixed in a complex environment, the clustering accuracy decreases. To solve this problem, a distributed clustering method based on spatial information is proposed. First, a multi-node distributed system is built, one of the nodes is taken as the central node, and the pulse information transmitted by other nodes through the link is received. All pulses at the central node are jointly clustered according to the three parameters of radio frequency (RF), pulse width (PW) and time of arrival (TOA), forming an associated pulse description word (APDW). Then, the associated pulse is spatially marked based on its spatial information within the range of the target area of interest. Finally, the associated pulse is re-clustered using the marked information and pulse parameters to achieve effective target separation. The simulation results show that the method can overcome the influence of parameter agility and make full use of the spatial information of the target to improve the accuracy of pulse clustering.
abstract_unstemmed	Radar pulse deinterleaving is the core part of electronic reconnaissance system, which is responsible for sorting out the pulses coming from different emitters. In the process of signal deinterleaving, parameter clustering is an important method. The features for clustering are mainly derived from pulse parameters emitted by the radiation source transmitter. When the multiple target signals are seriously mixed in a complex environment, the clustering accuracy decreases. To solve this problem, a distributed clustering method based on spatial information is proposed. First, a multi-node distributed system is built, one of the nodes is taken as the central node, and the pulse information transmitted by other nodes through the link is received. All pulses at the central node are jointly clustered according to the three parameters of radio frequency (RF), pulse width (PW) and time of arrival (TOA), forming an associated pulse description word (APDW). Then, the associated pulse is spatially marked based on its spatial information within the range of the target area of interest. Finally, the associated pulse is re-clustered using the marked information and pulse parameters to achieve effective target separation. The simulation results show that the method can overcome the influence of parameter agility and make full use of the spatial information of the target to improve the accuracy of pulse clustering.
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title_short	Distributed Clustering Method Based on Spatial Information
url	https://doi.org/10.1109/ACCESS.2022.3175879 https://doaj.org/article/9f59448d79894c1baba4c3217dbf406a https://ieeexplore.ieee.org/document/9775962/ https://doaj.org/toc/2169-3536
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score	7.400853

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