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TLS-ESPRIT改进算法对于方位角和仰角的估计精度,通过仿真实验业已证明,在不同信噪比情况下,要比TLS-ESPRIT算法更精确,其方差和均方根误差均小于TLS-ESPRIT算法,尤其在小信噪比的情况下,更能显示出改进算法的优势。然而,如果在子阵列相同的情况下,改进的TLS-ESPRIT算法和TLS-ESPRIT算法,哪一种算法将会更精确。本文利用Matlab系统仿真软件,通过仿真实验和深入的理论研究,分别对一维和二维M个阵元的原算法和M-1个阵元的改进算法进行性能比较,给出了不同信噪比情况下两种算法的波达方向的估计性能,指出了改进算法的不足,分析讨论了其理论依据。
The accuracy of TLS-ESPRIT algorithm for azimuth and elevation estimation has been proved by simulation experiments that it is more accurate than TLS-ESPRIT algorithm under different signal-to-noise ratio, and its variance and root mean square error are less than TLS-ESPRIT algorithm , Especially in the case of small signal-to-noise ratio, the better shows the advantages of improved algorithms. However, which algorithm will be more accurate if the same array of subarrays, the improved TLS-ESPRIT algorithm and the TLS-ESPRIT algorithm. In this paper, Matlab system simulation software, through simulation experiments and in-depth theoretical study, the performance of one-dimensional and two-dimensional M array elements of the original algorithm and M-1 array element improved algorithm performance comparison, given different signal to noise ratio In the case of the DOA estimation performance of the two algorithms, the deficiency of the improved algorithm is pointed out, and the theoretical basis is analyzed and discussed.