Robust adaptive beamformer based on convex optimization
A new adaptive beamform method is proposed. In this method, two inequality constraints have been used, which restrict not only the minimum gain in the interesting look direction but also the maximum value of the squared norm of the weight vector. The interior-point method is used to acquire the optimal solution. Simulation results show that this new method not only can avoid the signal cancellation phenomenon when the signal of interesting is contained in the beamformer training cell data, but also can be fitted with the small steering vector errors and the small number of snapshots.
robust adaptive beamformer convex optimization interior-point method
Haitao Wang Jun Wang
National Lab of Radar Signal Processing, Xidian University, Xi’an, Shanxi 710071, People’s Republic of 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
1414-1416
2011-10-24（万方平台首次上网日期，不代表论文的发表时间）