Jiang Sheng-li, Wang Ju-ting, Deng Hai, Liu Zhong. Image Feature-Based Space-Time Processing Algorithm in Airborne Orthogonal Netted Radars[J]. Journal of Electronics & Information Technology, 2009, 31(5): 1103-1107. doi: 10.3724/SP.J.1146.2008.00178
Citation:
Jiang Sheng-li, Wang Ju-ting, Deng Hai, Liu Zhong. Image Feature-Based Space-Time Processing Algorithm in Airborne Orthogonal Netted Radars[J]. Journal of Electronics & Information Technology, 2009, 31(5): 1103-1107. doi: 10.3724/SP.J.1146.2008.00178
Jiang Sheng-li, Wang Ju-ting, Deng Hai, Liu Zhong. Image Feature-Based Space-Time Processing Algorithm in Airborne Orthogonal Netted Radars[J]. Journal of Electronics & Information Technology, 2009, 31(5): 1103-1107. doi: 10.3724/SP.J.1146.2008.00178
Citation:
Jiang Sheng-li, Wang Ju-ting, Deng Hai, Liu Zhong. Image Feature-Based Space-Time Processing Algorithm in Airborne Orthogonal Netted Radars[J]. Journal of Electronics & Information Technology, 2009, 31(5): 1103-1107. doi: 10.3724/SP.J.1146.2008.00178
This paper proposes a decentralized Image Feature-based Space-Time Processing (IFSTP) algorithm in Airborne Orthogonal Netted radar (AON-IFSTP) for the detection of ground moving targets, and evaluates its detection performance. Firstly, the iso-range clutter locus of Airborne Orthogonal Netted Radar (AONR) in Angle-Doppler domain is discussed and a closed-form locus in a special case is derived. Then, the distinct image features shown by targets and interference signals are revealed, and the applicability of the IFSTP to AONR is discussed. Thirdly, the implementation of AON-IFSTP is summarized. Finally computer simulations are conducted. The results show that AON-IFSTP avoids the difficulty of the clutter covariance estimation and is suitable for the application to highly inhomogeneous environment. It is also found that the spatial diveristy can combat detection performance degradations induced by fluctuations of target radar cross section and small radial velocity of target.
Deng H. Radar target recognition based on orthogonal rangeprofile extraction[C]. Proc. IEEE International Antennas andPropagation Symposium, Columbus, OH, United States, Jun.2003, 3: 163-166.[2]Deng H. Polyphase code design for orthogonal netted radarsystems[J].IEEE Trans. on Signal Processing.2004, 52(11):3126-3135[3]Deng H. Discrete frequency-coding waveform design fornetted radar systems[J].IEEE Signal Processing Letters.2004, 11(2):179-182[4]Goodman N A and Bruyere D. Optimum and decentralizeddetection for multistatic airborne radar[J].IEEE Trans. onAerosp. Electron. Syst.2007, 43(2):806-813[5]Klemm R. Space-Time Adaptive Processing-Principles andApplications[M]. London: IEE Press, 1998: 347-368.[6]Lapierre F D and Verly J G. Computationally-efficient rangedependencecompensation method for bistatic radar STAP[C].Proc. 2005 IEEE International Radar Conference, Arlington,USA, May 2005: 714-719.[7]Friedlander B. A subspace method for space time adaptiveprocessing[J].IEEE Trans. on Signal Processing.2005, 53(1):74-82[8]Melvin W L and Davis M E. Adaptive cancellation methodfor geometry-induced nonstationary bistatic clutterenvironments [J].IEEE Trans. on Aerosp. Electron. Syst.2007, 43(2):651-672[9]Deng H, Himed B, and Wicks M C. Image feature-basedspace-time processing for ground moving target detection[J].IEEE Signal Processing Letters.2006, 13(4):216-219