单矢量水听器频域极化加权MUSIC算法
发布时间：2018-07-24 16:53
【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°。海试数据处理结果验证了该方法的有效性。
[Abstract]:Aiming at the problem that the estimation performance of classical multi-signal classification (MUSIC) algorithm is limited by spatial random distribution noise, a single vector hydrophone MUSIC algorithm based on frequency-domain polarization weighting is proposed. The polarization parameters of the received signal in frequency domain are extracted by this method. According to the polarization characteristics of the target signal and the noise, the spectrum of the received signal is weighted adaptively. The polarization covariance matrix is constructed by replacing the original received signal with the weighted spectrum signal, and then the target azimuth is estimated by the classical MUSIC algorithm. Simulation results show that the target azimuth estimation error is less than 5 掳when the SNR is -15 dB and there is no prior knowledge. The results of sea trial data processing verify the effectiveness of this method.
【作者单位】： 哈尔滨工程大学水声技术重点实验室;哈尔滨工程大学水声工程学院;
【基金】：国家自然科学基金资助项目(11234002,61240007)
【分类号】：TN911.7
[Abstract]:Aiming at the problem that the estimation performance of classical multi-signal classification (MUSIC) algorithm is limited by spatial random distribution noise, a single vector hydrophone MUSIC algorithm based on frequency-domain polarization weighting is proposed. The polarization parameters of the received signal in frequency domain are extracted by this method. According to the polarization characteristics of the target signal and the noise, the spectrum of the received signal is weighted adaptively. The polarization covariance matrix is constructed by replacing the original received signal with the weighted spectrum signal, and then the target azimuth is estimated by the classical MUSIC algorithm. Simulation results show that the target azimuth estimation error is less than 5 掳when the SNR is -15 dB and there is no prior knowledge. The results of sea trial data processing verify the effectiveness of this method.
【作者单位】： 哈尔滨工程大学水声技术重点实验室;哈尔滨工程大学水声工程学院;
【基金】：国家自然科学基金资助项目(11234002,61240007)
【分类号】：TN911.7
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1 梅继丹;王s，
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