Detection performance of Passive Radar Network (PRN) is affected by many factors including network geometry, radio propagation environment, performance of system, signal and data processing capability, and so on. Optimized disposition with passive radar network needs to consider all the aspects, and performance evaluation of the network should be firstly taken into consideration. Launching from the positioning performance of passive radar network, first a feasible evaluation scheme is proposed, and the distribution of positioning precision is obtained by Monte-Carlo simulation under a specified network configuration. Then, the experimental scenario and the experimental progress is highlighted, involving system introduction, illustration, and analysis of typical detection results of airplanes. Finally, the positioning accuracy is compared with reference information and simulation results, which proves the validity of passive radar network positioning performance evaluation scheme.
WAN Xianrong. An overview on development of passive radar based on the low frequency band digital broadcasting and TV signals[J]. Journal of Radars, 2012, 1(2): 109-123. doi: 10.3724/SP.J.1300.2012.20027.
YANG Jinlu, SHAN Tao, and TAO Ran. Method of migration compensation in coherent integration for digital TV based passive radar[J]. Journal of Electronics & Information Technology, 2011, 33(2): 407-411. doi: 10.3724/ SP.J.1146.2010.00414.
WAN Xianrong, YI Jianxin, CHENG Feng, et al. Single frequency network based distributed passive radar technology[J]. Journal of Radars, 2014, 3(6): 623-631. doi: 10.12000/JR14156.
WAN Xianrong, YI Jianxin, FANG Gao, et al. Experimental research of digital television based three dimensional passive radar[J]. Systems Engineering and Electronics, 2014, 36(7): 1263-1268. doi: 10.3969/j.issn.1001-506x. 2014.07.07.
LIU Qin, LIU Zheng, and XIE Rong. Collaborative detection and tracking of stealthy target by netted radar[J]. Journal of Electronics & Information Technology, 2013, 35(3): 601-607. doi: 10.3724/SP.J.1146.2012.01072.
[6]
HACKD E, PATTON L K, HIMED B, et al. Detection in passive MIMO radar network[J]. IEEE Transactions on Signal Processing, 2014, 62(11): 2999-3012. doi: 10.1109/ TSP.2014.2319776.
[7]
EDRICH M, SCHROEDER A, and MEYER F. Design and performance evaluation of a mature FM/DAB/DVB-T multi-illuminator passive radar system[J]. IET Radar, Sonar & Navigation, 2014, 8(2): 114-122. doi: 10.1049/iet-rsn. 2013.0162.
[8]
STEVENS M, POMPAIRAC D, and MILLET N. Multi-Static primary surveillance radar assessment[C]. Radar Conference, Lille, 2014: 1-6. doi: 10.1109/RADAR.2014. 7060357.
[9]
GUMIERO F, SANTARELLI S, BONGIOANNI C, et al. Using real data for the implementation of multistatic passive radar geometry optimization procedure[C]. European Radar Conference, Manchester, 2011: 93-96.
[10]
HO K C and XU Wenwei. An accurate algebraic solution for moving source location using TDOA and FDOA measurements[J]. IEEE Transactions on Signal Processing, 2004, 50(9): 2453-2463. doi: 10.1109/TSP.2004.831921.
[11]
YI Jianxin, WAN Xianrong, CHENG Feng, et al. Deghosting for target tracking in single frequency network based passive radar[J]. IEEE Transactions on Aerospace and Electronic Systems, doi: No.10.1109/TAES.2015.130424.
SUN Zhongkang, ZHOU Yiyu, and HE Lixing. Single Multi-base Active Passive Positioning Technology[M]. Beijing: National Defence Industry Press, 1996: 117-131.
[13]
MALANOWAKI M and KULPA K. Two methods for target localization in multistatic passive radar[J]. IEEE Transactions on Aerospace and Electronic Systems, 2012, 48(1): 572-580. doi: 10.1109/TAES.2012.6129656.
