一类高分辨方位估计算法的稳健性研究

在水下多目标方位估计中,为了降低阵列误差对高分辨方位估计算法性能的影响,增强算法的稳健性,提出通道归一Toeplitz化的误差校正方法,通过计算机仿真对MUSIC、Mini-Norm、Root-MUSIC、TLS-ESPRIT和MODE算法性能的分析研究,结果表明此校正方法能很好地改善高分辨算法的性能,并且水池实验数据的处理结果也进一步验证了仿真结论的正确性;而且从仿真和水池实验结果可以看到经校正后TLS-ESPRIT、Root-MUSIC和MODE算法稳健性高,有较低的噪声分辨门限,工程应用前景良好.

Study on the Rubstness of High-Resolution DOA Algorithms

In order to reduce the influence of array error on the performance of high - resolution DOA algorithms and enhance the rubustness of the algorithms in underwater multiple targets location, this paper proposes a channel unitizing Toeplitz error calibration method. The study of MUSIC, Mini - Norm, Root - MUSIC, TLS - ESPRIT and MODE algorithms with computer simulations indicates that the calibration method can efficiently improve the performance of the algorithms. Furthermore, water tank experiment results justify the correctness of simulation conclusions. The simulation and water tank experiment results show that the calibrated TLS - ESPRIT, Root - MUSIC and MODE algorithms are rubust and with lower SNR threshold ,and has good application prospect.