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Volume 32 Issue 8
Sep.  2010
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Huang Yong, Guan Jian, Dong Yun-Long. Adaptive Space-time Coding Design for MIMO Array Radar Detection[J]. Journal of Electronics & Information Technology, 2010, 32(8): 1831-1836. doi: 10.3724/SP.J.1146.2009.00979
Citation: Huang Yong, Guan Jian, Dong Yun-Long. Adaptive Space-time Coding Design for MIMO Array Radar Detection[J]. Journal of Electronics & Information Technology, 2010, 32(8): 1831-1836. doi: 10.3724/SP.J.1146.2009.00979

Adaptive Space-time Coding Design for MIMO Array Radar Detection

doi: 10.3724/SP.J.1146.2009.00979 cstr: 32379.14.SP.J.1146.2009.00979
  • Received Date: 2009-07-07
  • Rev Recd Date: 2010-03-15
  • Publish Date: 2010-08-19
  • Adaptive space-time coding design is investigated for improving the detection performance of MIMO array radar, with multiple targets and space-time correlation property of clutter RCS considered in this paper. Optimal principle and two suboptimal principles are derived for adaptive space-time coding design, and the interrelation among the three principles, orthogonal space-time coding design and beampattern matching design is clarified. The numerical simulations show that all of the adaptive space-time coding vectors designed by the three principles can significantly enhance the signal-to-clutter plus noise-ratio at the output of the detector, and thus improve the detection performance of the MIMO array radar.
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  • Friedlander B. Waveform design for MIMO radars[J].IEEETransactions on Aerospace and Electronic Systems.2007,43(3):1227-1238[2]Friedlander B. A subspace framework for adaptive radarwaveform design[C]. Proceedings of the 39th AsilomarConference on Signal, Systems and Computers, Pacific Grove,CA, Oct. 31-Nov.2, 2005: 1135-1139.[3]Li Jian and Stoica P. MIMO Radar Signal Processing[M].New Jersey.[J].Hoboken: John Wiley Sons, Inc.2009,:-[4]Friedlander B. Waveform design for MIMO radar withspace-time constraints[C]. Proceedings of the AsilomarConference on Signal, Systems and Computers, Pacific Grove,CA, Nov. 4-7, 2007: 2168-2172.[5]De Maio A and Lops M. Design principles of MIMO radardetectors[J].IEEE Transactions on Aerospace andElectronic Systems.2007, 43(3):886-898[6]Liu Zheng, Zhao Rui-li, and Liu Yun-fu, et al.. Performanceanalysis on MIMO radar waveform based on mutualinformation and minimum mean-square error estimation[C].Proceedings of the IET, International Radar Conference,Guilin, China, Apr. 20-22, 2009: ID 626.[7]Stoica P, Li Jian, and Xie Yao. On probing signal design forMIMO radar[J].IEEE Transactions on Signal Processing.2007, 55(8):4151-4161[8]Hu L B, Liu H W, and Zhou S H, et al.. Convex optimizationapplied to transmit beampattern synthesis and signalwaveform design for MIMO radar[C]. Proceedings of the IET,International Radar Conference, Guilin, China, Apr.20-22,2009: ID 338.[9]Leshem A, Naparstek O, and Nehorai A. Informationtheoretic adaptive radar waveform design for multipleextended targets[J].IEEE Journal of Selected Topics inSignal Processing.2007, 1(1):42-55[10]Naghibi T and Behnia F. Convex optimization and MIMOradar waveform design in the presence of clutter[C].Proceedings of the 2008 International Conference on Signals,Circuits and Systems, Monastir, Nov.7-9, 2008: 1-6.[11]Yang Yang and Rick S B. MIMO radar waveform designbased on mutual information and minimum mean-squareerror estimation[J].IEEE Transactions on Aerospace andElectronic Systems.2007, 43(1):330-343[12]关键, 黄勇. 高斯色噪声中MIMO分布孔径雷达检测性能分析[J]. 中国科学, 2009, 39(3): 363-369.Guan Jian and Huang Yong. Detection performance analysisfor MIMO radar with distributed apertures in Gaussiancolored noise[J]. Science in China Series F: InformationSciences, 2009, 39(3): 363-369.
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