一种具有多重稳健性的自适应波束形成算法  

Multiple robust adaptive beamforming

作　　者：姚晖[1] 吴瑛[1] 

机构地区：[1]解放军信息工程大学信息工程学院,郑州450002

出　　处：《声学技术》2010年第2期214-217,共4页Technical Acoustics

摘　　要：由于存在阵元幅相差、期望信号导向矢量误差和数据失配等问题,传统的自适应波束形成算法性能下降,针对这一问题,提出了一种新的对于上述多种误差同时具有稳健性的波束形成算法。该算法以最小二乘恒模算法为基础,结合最优对角加载和协方差矩阵锥消技术,使得算法适用于同时存在多种误差的情况。结果表明,与目前已有的同类算法相比,该算法克服了期望信号信噪比大时算法性能恶化的缺点,具有更好的输出信干噪比,并且通过计算机仿真验证了它的有效性和优越性。Traditional adaptive beamformers suffer performance degradation in the presence of multiple errors, including the array amplitude and phase errors of array elements, mismatches between the actual and the presumed array steering vectors of the desired signal, and the problem that the weight mismatches the measured data.A novel robust adaptive beamforming algorithm against the above multiple errors is proposed.The proposed algorithm, which is based on the Least Square Constant Modulus Algorithm（LSCMA） and combined with the optimal diagonal loading and covariance matrix taper（CMT） algorithm, has robustness against multiple errors.And this algorithm can not only overcome the shortage of worse performance due to high SNR of the desired signal, but also has better output Signal-to-Interferenceplus-Noise Ratio（SINR） performance over the existing methods.Simulations demonstrate its validity and superiority.

关 键 词：稳健性 最小二乘恒模 最优对角加载 矩阵锥消技术 

分 类 号：TN911.7[电子电信—通信与信息系统]