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为了提高矢量水听器阵列相干信号源方位估计能力,提出了两种基于解析振速的矢量阵平滑算法.两种算法均利用解析振速的特殊形式抑制协方差矩阵的相干项,实现秩的恢复,然后结合修正MUSIC实现目标方位估计.第二种算法充分利用声压,振速通道抑制各向同性噪声能力与白噪声特性,首先构造了一个新的协方差矩阵,然后利用解析振速平滑恢复矩阵秩,理论推导表明这种算法可以大大提高信噪比.仿真证明,新提出的两种算法都可以无空间损耗地完成相干信号的方位估计,相比于传统的矢量阵空间平滑算法有较好的估计精度与分辨率,并且第二种算法由于信噪比的提高,其估计性能更为优越.
In order to improve the capability of azimuth estimation of coherent sources of vector hydrophone arrays, two vector-based smoothing algorithms based on analytic vibration velocities are proposed. Both algorithms use the special form of analytic vibration velocity to suppress the coherent matrix coherency terms to achieve rank And then combined with the modified MUSIC to achieve the target position estimation.The second algorithm makes full use of the sound pressure and velocity channel to suppress isotropic noise and white noise characteristics, a new covariance matrix is constructed, and then, Recovery of the matrix rank, the theoretical derivation shows that this algorithm can greatly improve the signal-to-noise ratio.The simulation results show that the proposed two algorithms can estimate the azimuth of the coherent signal without space loss, compared with the traditional vector space smoothing algorithm Better estimation accuracy and resolution, and the second algorithm due to the improvement of signal to noise ratio, its estimated performance is more superior.