【摘要】 研究了改进的旁瓣相消算法,该算法利用小波滤波器组阻塞接收信号的期望信号分量进行自适应的波束形成。经过改进算法处理后,阵列信号的协方差矩阵中不包含期望信号分量,从而克服了当存在系统误差时自适应波束形成中期望信号相消的问题,并解决了在实际应用中旁瓣相消波束形成算法GSC波束形成算法需要构造与期望信号的导向矢量完全正交的阻塞矩阵的难点问题,从而达到提高系统稳健性能的目的,仿真结果验证了该算法的性能优于传统的MVDR方法和基于MVDR的对角加载方法。更多还原

【Abstract】 The orthogonal block matrix is needed in the generalized sidelobe canceller algorithm to offset the received signal and the desired signal.But there is a limitation on constructing the orthogonal block matrix in the actual pattern synthesis processing.In this paper,an improved sidelobe cancellation algorithm is proposed.The wavelet filter bank is used to block the desired signal component in received signals of antenna array for adaptive beamforming.The covariance matrix of array signal does not contain the desired signal component in the improved algorithm.So the desired signal cancellation problem in adaptive beamforming with the system error can be overcome.Also the proposed algorithm solves the problem that the generalized sidelobe canceller(GSC) beamforming algorithm needs to construct the blocking matrix which is orthogonal with the desired signal,thus the robust performance of the system is achieved.The effectiveness of the improved algorithm is verified by the simulation results.The simulation results show that the performance of the improved algorithm is better than the traditional minimum variance distortionless response(MVDR) method and the diagonal loading method based on MVDR algorithm.更多还原