Reducing the Waveform Cross Correlation of MIMO Radar With Space-Time Coding

被引:85
作者
Song, Xiufeng [1 ]
Zhou, Shengli [1 ]
Willett, Peter [1 ]
机构
[1] Univ Connecticut, Dept Elect & Comp Engn, Storrs, CT 06269 USA
关键词
Clutter reduction; multiple input multiple output (MIMO) radar; pulse compression; space-time coding (STC); waveform cross-correlation elimination (CCE); waveform design; waveform set division; TRANSMIT DIVERSITY; TARGET DETECTION; DESIGN; COMPRESSION; SEQUENCES; CODES;
D O I
10.1109/TSP.2010.2048207
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Multiple-input-multiple-output (MIMO) radar is attractive for target detection, parameter identification, and target classification due to diversity of waveform and perspective. However, the mutual interference among the waveforms may lead to performance degradation in resolving spatially close returns. In this paper, we consider the use of space-time coding (STC) to mitigate the waveform cross-correlation effects in MIMO radar. First, it turns out that a joint waveform optimization problem can be decoupled into a set of individual waveform design problems. Second, a number of monostatic waveforms can be directly used in a MIMO radar system, which offers flexibility in waveform selection. We provide conditions for the elimination of waveform cross correlation, and discuss four kinds of space time codes. In addition, we also extend the model to partial waveform cross-correlation removal based on waveform set division. Numerical results demonstrate the effectiveness of STC in MIMO radar for waveform decorrelation.
引用
收藏
页码:4213 / 4224
页数:12
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