中文摘要：

针对经典多重信号分类（ MUSIC）算法估计性能受限于空间随机分布噪声的问题，提出了一种基于频域极化加权的单矢量水听器MUSIC算法。该方法提取接收信号频域极化参数，根据目标信号与噪声在极化特性上的区别，对接收信号频谱自适应地加权。将加权后的频谱信号代替原接收信号，构造极化协方差矩阵，再利用经典MUSIC算法估计目标方位。仿真研究表明，在信噪比为-15 dB且无先验知识情况下，该方法的目标方位估计误差小于5＆#176;。海试数据处理结果验证了该方法的有效性。

英文摘要：

This paper analyzes a frequency domain polarization weighted multiple signal classification （MUSIC） al-gorithm using one vector sensor against the restriction of randomly distributed noise in space .After the frequency domain polarization parameters are picked up , the weights are estimated automatically according to the differences in the polarization characteristics between desired signal and noise .The received signals are replaced by the weigh-ted frequency domain signals to construct the covariance matrix which is used to realize DOA estimation through the MUSIC algorithm.The simulation results show that the estimation error of this proposed method is less than 5＆#176;when the signal to noise ratio is -15 dB and there is no prior information .The validity of this improved method has been verified by the sea experiment results .