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针对实际复杂海洋环境条件下的目标方位估计性能变差的问题,提出了一种基于实部消除技术的目标方位估计方法。首先将噪声场分解为对称噪声部分和非对称噪声部分。然后利用协方差矩阵虚部,采用延迟求和波束形成方法获得目标方位估计,但是同时产生了对称的虚假目标。最后基于功率估计重构协方差矩阵实部,并与虚部组成新的协方差矩阵,利用新的协方差矩阵做目标方位估计,消除了虚假目标的影响。理论分析与湖试数据处理结果表明:该方法明显抑制了噪声,提高了目标方位估计的性能。实部消除技术易于实现,有较强的工程应用价值。
In order to solve the problem of poor performance of target azimuth estimation under actual complex ocean environment, a target azimuth estimation method based on real part cancellation technique is proposed. Firstly, the noise field is decomposed into symmetric noise part and asymmetric noise part. Then, using the imaginary part of the covariance matrix, the target azimuth estimation is obtained by the delay-sum beamforming method, but at the same time, a symmetrical false target is generated. Finally, the real part of the covariance matrix is reconstructed based on the power estimation, and a new covariance matrix is formed with the imaginary part. The new covariance matrix is used to estimate the target position, eliminating the influence of the false target. Theoretical analysis and experimental data processing results show that this method can significantly reduce the noise and improve the performance of the target position estimation. Removal of real part of the technology easy to achieve, there is a strong engineering value.