ROBUST ADAPTIVE BEAMFORMING ALGORITHM BASED ON UNCERTAIN STEERING VECTORS
When adaptive arrays are applied to practical problems, the performances of the existing adaptive beamforming algorithms are known to degrade severely in the presence of even slight mismatches between the actual and presumed array responses to the desired signal. To account for signal steering vector mismatches, we propose a novel robust adaptive beamforming algorithm based on the given level of uncertainty in the signal array response,which belongs to the class of diagonal loading approaches. To decrease computation complexity, the weight vector based on the variable diagonal loading is obtained by Taylor series expansion. The proposed algorithm provides an improved robustness against the signal steering vector mismatches, enhances the array system performance under nonideal conditions and makes the mean output array SINR consistently close to the optimal one. Moreover, the proposed algorithm can be efficiently computed at a low complexity cost compared with conventional adaptive beamforming algorithms. Simulation results validate substantial performance improvements relative to other algorithms.
Adaptive arrays Robust adaptive beamforming Signal steering vector mismatch Diagonal loading
XIN SONG JINKUAN WANG YING GUAN BIN WANG
Engineering Optimization and Smart Antenna Institute, Northeastern University at Qinhuangdao, 066004, China
国际会议
The Second International Conference on Information & Systems Sciences(ICISS2008)(第二届信息与系统科学国际会议)
大连
英文
699-709
2008-12-18(万方平台首次上网日期,不代表论文的发表时间)