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Volume 31 Issue 9
Dec.  2010
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Zhao Rui-li, Liu Zheng. A Method of Spatio-Temporal Signal Design for MIMO Radar Based on Channel Estimation[J]. Journal of Electronics & Information Technology, 2009, 31(9): 2065-2068. doi: 10.3724/SP.J.1146.2008.01289
Citation: Zhao Rui-li, Liu Zheng. A Method of Spatio-Temporal Signal Design for MIMO Radar Based on Channel Estimation[J]. Journal of Electronics & Information Technology, 2009, 31(9): 2065-2068. doi: 10.3724/SP.J.1146.2008.01289

A Method of Spatio-Temporal Signal Design for MIMO Radar Based on Channel Estimation

doi: 10.3724/SP.J.1146.2008.01289 cstr: 32379.14.SP.J.1146.2008.01289
  • Received Date: 2008-10-10
  • Rev Recd Date: 2009-03-16
  • Publish Date: 2009-09-19
  • The novelty of MIMO radar is to improve the performance of radar utilizing spatial diversity and waveform diversity. To achieve full diversity, this paper considers the problem of spatio-temporal signal design for MIMO radar based on channel estimation with the clutter statistical properties known. The method obtains the optimized spatio-temporal signal though minimizing the mean-square error of the channels linear Bayes estimation. It shows that the optimized spatio-temporal signal is a function of the clutter covariance matrix, which is verified from information theoretical point of view. Finally the simulation results show that the optimized spatio-temporal signal improves the target detection performance.
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  • Fishler E, Haimovich A, and Blum R, et al.. MIMO radar: Anidea whose time has come [C]. Proceedings of 2004 IEEERadar Conference, Philadelphia, PA, Apr. 2004: 71-78.[2]Rabideau D J and Parker P. Ubiquitous MIMOmultifunction digital array radar [C]. Conference Record ofthe Thirty-Seventh Asilomar Conference on Signals, Systemsand Computers, Pacific Grove, CA, Nov. 2003, 1: 1057-1064.[3]Fishler E, Haimovich A, and Blum R. Spatial diversity inradars-models and detection performance [J].IEEETransactions on Signal Processing.2006, 54(3):823-838[4]Tabrikian J. Barankin bounds for target localization byMIMO radars [C]. Proc. 4th IEEE Workshop on SensorArray and Multi-Channel Processing, Waltham, MA, Jul.2006: 278-281.[5]Xu L, Li J, and Stoica P. Adaptive techniques for MIMOradar [C]. Proc. 4th, IEEE Workshop on Sensor Array andMulti-Channel Processing, Waltham, MA, Jul. 2006:258-262.[6]Dorey J and Garnier G, et al.. RIAS, radar a impulsion etantenna synthetique [C]. Colloque International Sur LeRadar, Paris, Apr. 1989: 556-562.[7]Deng H. Polyphase code design for orthogonal netted radarsystem [J].IEEE Transactions on Signal Processing.2004,52(11):3126-3135[8]Li J, Xu L, and Stoica P, et al.. Range compression andwaveform optimization for MIMO radar: A Cramr-Raobound based study [J].IEEE Transactions on SignalProcessing.2008, 56(1):218-232[9]Li J, Stoica P, and Xie Y. On probing signal design for MIMOradar[C]. the 40th Asilomar Conf. Signals, Systems,Computers,Pacific Grove, CA, Oct. 2006: 31-35.[10]Steven M. Kay 著, 罗鹏飞等译. 统计信号处理基础估计与检测理论[M]. 第一版, 北京: 电子工业出版社, 2003: 315,596-597.
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