Collocated MIMO Radar Beamforming with Two Side Adaptivity
We propose a beamforming algorithm for collocated multiple-input multiple-output (MIMO) radar with two side adaptivity capability such that more active and inactive interferences can be suppressed at a low computational complexity and a low sample number requirement. Signals only with jamming and noise signals are used as training samples to obtain the weighting vector for receiving beamforming. After receiving beamforming, signals that may contain targets of interest are range compressed and then pass the adaptive transmitting beamforming to suppress inactive interferences. Numerical experiments show that this algorithm can suppress more interferences than the MIMO Capon algorithm, at a lower computation cost than the MIMO two-side beamforming algorithm.
Collocated MIMO radar target parameter estimation two side adaptivity adaptive beamforming
S.H. Zhou H.W. Liu Baochang Liu Kuiying Yin
National Lab of Radar Signal Processing, Xidian University, China
国际会议
2011 IEEE CIE International Conference on Radar(2011年IEEE国际雷达会议RADAR 2011)
成都
英文
104-107
2011-10-24（万方平台首次上网日期，不代表论文的发表时间）