分析了基于二阶统计的CSPRIT算法在空间相关高斯噪声环境中存在的问题，提出将四阶累积量与CSPRIT算法相结合，处理一维二元相移键控信号（BPSK）和多元幅移键控信号（MASK），实现信号到达角（DOA）的估计和波束形成器的构造。与基于二阶统计的CSPRIT算法相比，基于四阶累积量的改进算法能够有效抑制空间相关的高斯噪声，提高信号估计精度。计算机仿真验证了该算法的有效性。

By analyzing the problems of CSPRIT algorithm based on second-order statistics under space correlated Gaussian noise, a new algorithm combining fourth-order cumulant and CSPRIT algorithm is proposed to process one-dimensional signal sources, such as binary phase shift keying (BPSK) and M-ary amplitude shift keying (MASK). DOA estimation and beamforming construction can be achieved simultaneously in this way. Compared to the original CSPRIT algorithm, this improved algorithm based on fourth-order cumulant can depress space correlated Gaussian noise well and get more accurate estimation of signals. The validity of this algorithm is also proved by computer simulation.