Please use this identifier to cite or link to this item: http://localhost/handle/Hannan/630337
Title: Promoted clustering method for the measurement&x2013;transmitter association in SFN based passive radar systems
Authors: Xiaobo Li;Xin Guan;Lihua Zhong;Donghui Hu;Chibiao Ding
subject: SFN|promoted clustering method|single frequency network|measurement-transmitter association|passive radar system|association problem
Year: 2016
Publisher: IEEE
Abstract: Passive radar systems, which use existing commercial signals as the illuminators of opportunity, have many advantages comparing with active ones. However, there is no control over the transmitters, which will largely increase the processing complexity. Especially, in the single frequency network based passive radar systems, the ambiguity of measurement-transmitter association will hold back the later processing. It is necessary to develop a proper technique to associate each measurement to a given transmitter. In this study, a promoted clustering method for this association problem is presented. In this method, the position and the velocity of targets are estimated as the clustering condition. Then, the authors propose a judgement criterion to reduce the false associations. Finally, the presented method is verified by a number of simulations.
URI: http://localhost/handle/Hannan/158602
http://localhost/handle/Hannan/630337
ISSN: 1751-8784
1751-8792
volume: 10
issue: 7
Appears in Collections:2016

Files in This Item:
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Title: Promoted clustering method for the measurement&x2013;transmitter association in SFN based passive radar systems
Authors: Xiaobo Li;Xin Guan;Lihua Zhong;Donghui Hu;Chibiao Ding
subject: SFN|promoted clustering method|single frequency network|measurement-transmitter association|passive radar system|association problem
Year: 2016
Publisher: IEEE
Abstract: Passive radar systems, which use existing commercial signals as the illuminators of opportunity, have many advantages comparing with active ones. However, there is no control over the transmitters, which will largely increase the processing complexity. Especially, in the single frequency network based passive radar systems, the ambiguity of measurement-transmitter association will hold back the later processing. It is necessary to develop a proper technique to associate each measurement to a given transmitter. In this study, a promoted clustering method for this association problem is presented. In this method, the position and the velocity of targets are estimated as the clustering condition. Then, the authors propose a judgement criterion to reduce the false associations. Finally, the presented method is verified by a number of simulations.
URI: http://localhost/handle/Hannan/158602
http://localhost/handle/Hannan/630337
ISSN: 1751-8784
1751-8792
volume: 10
issue: 7
Appears in Collections:2016

Files in This Item:
File Description SizeFormat 
7518767.pdf4.84 MBAdobe PDFThumbnail
Preview File
Title: Promoted clustering method for the measurement&x2013;transmitter association in SFN based passive radar systems
Authors: Xiaobo Li;Xin Guan;Lihua Zhong;Donghui Hu;Chibiao Ding
subject: SFN|promoted clustering method|single frequency network|measurement-transmitter association|passive radar system|association problem
Year: 2016
Publisher: IEEE
Abstract: Passive radar systems, which use existing commercial signals as the illuminators of opportunity, have many advantages comparing with active ones. However, there is no control over the transmitters, which will largely increase the processing complexity. Especially, in the single frequency network based passive radar systems, the ambiguity of measurement-transmitter association will hold back the later processing. It is necessary to develop a proper technique to associate each measurement to a given transmitter. In this study, a promoted clustering method for this association problem is presented. In this method, the position and the velocity of targets are estimated as the clustering condition. Then, the authors propose a judgement criterion to reduce the false associations. Finally, the presented method is verified by a number of simulations.
URI: http://localhost/handle/Hannan/158602
http://localhost/handle/Hannan/630337
ISSN: 1751-8784
1751-8792
volume: 10
issue: 7
Appears in Collections:2016

Files in This Item:
File Description SizeFormat 
7518767.pdf4.84 MBAdobe PDFThumbnail
Preview File