DPCA Detection of Moving Targets in Airborne Passive Radar

2012 ◽  
Vol 48 (2) ◽  
pp. 1347-1357 ◽  
Author(s):  
B. Dawidowicz ◽  
K. S. Kulpa ◽  
M. Malanowski ◽  
J. Misiurewicz ◽  
P. Samczynski ◽  
...  
Keyword(s):  
Passive Radar ◽  
Moving Targets

Two‐dimensional location of moving targets within local areas using WiFi‐based multistatic passive radar

2014 ◽  
Vol 8 (2) ◽  
pp. 123-131 ◽  
Author(s):  
Paolo Falcone ◽  
Fabiola Colone ◽  
Antonio Macera ◽  
Pierfrancesco Lombardo
Keyword(s):  
Passive Radar ◽  
Two Dimensional ◽  
Moving Targets ◽  
Local Areas

Time varying Clutter Suppression in CP OFDM Based Passive Radar for Slowly Moving Targets Detection

2020 ◽  
pp. 1-1
Author(s):  
Yuqi Liu ◽  
Jianxin Yi ◽  
Xianrong Wan ◽  
Xun Zhang ◽  
Hengyu Ke
Keyword(s):  
Passive Radar ◽  
Time Varying ◽  
Clutter Suppression ◽  
Moving Targets

Detection of moving targets with multichannel airborne passive radar

2012 ◽  
Vol 27 (11) ◽  
pp. 42-49 ◽  
Author(s):  
B. Dawidowicz ◽  
P. Samczynski ◽  
M. Malanowski ◽  
J. Misiurewicz ◽  
K. S. Kulpa
Keyword(s):  
Passive Radar ◽  
Moving Targets

scholarly journals Dual Cancelled Channel STAP for Target Detection and DOA Estimation in Passive Radar

Sensors ◽  
2021 ◽  
Vol 21 (13) ◽  
pp. 4569
Author(s):  
Giovanni Paolo Blasone ◽  
Fabiola Colone ◽  
Pierfrancesco Lombardo ◽  
Philipp Wojaczek ◽  
Diego Cristallini
Keyword(s):  
Target Detection ◽  
Computational Cost ◽  
Doa Estimation ◽  
Training Data ◽  
Estimation Accuracy ◽  
Passive Radar ◽  
Moving Targets ◽  
Detection Capability ◽  
Channel Space ◽  
Space Time Adaptive Processing

This paper deals with the problem of detection and direction of arrival (DOA) estimation of slowly moving targets against clutter in multichannel mobile passive radar. A dual cancelled channel space-time adaptive processing (STAP) scheme is proposed, aiming at reducing the system computational complexity, as well as the amount of required training data, compared to a conventional full array solution. The proposed scheme is shown to yield comparable target detection capability and DOA estimation accuracy with respect to the corresponding full array solution, despite the lower computational cost required. Moreover, it offers increased robustness against adaptivity losses, operating effectively even in the presence of a limited set of training data, as often available in the highly non-homogeneous clutter scenarios experienced in bistatic passive radar. The effectiveness of the proposed scheme and its suitability for passive GMTI are demonstrated against both simulated and experimental data collected by a DVB-T-based multichannel mobile passive radar.

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