Effect of varying Number of Spacing between Antenna Elements, Snapshots, SNR on AP ML, AP-SSF and ESPRIT Algorithm

Vinod Kumar, S. Dhull
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Abstract

The direction of arrival estimation is the main key problem in array signal processing. In this paper, the alternating projection maximum Likelihood (AP-ML), Alternating projection sub space framework (APSSF) and ESPRIT algorithm are studied. The simulation is performed in MATLAB for single and multiple sources. The effect of the varying number of spacing between antenna elements, number of snapshots and SNR are studied. The performance comparison shows that ESPRIT algorithm performs better as compared to the AP-ML and AP-SSF. Key-Words: - AP-ML, AP-SSF, Direction of Arrival, ESPRIT, Snapshots, SNR
天线单元间距、快照数、信噪比对AP ML、AP- ssf和ESPRIT算法的影响
到达方向估计是阵列信号处理中的关键问题。本文研究了交替投影极大似然(AP-ML)、交替投影子空间框架(APSSF)和ESPRIT算法。在MATLAB中分别对单源和多源进行了仿真。研究了天线单元间距、快照个数和信噪比的变化对系统性能的影响。性能比较表明,与AP-ML和AP-SSF相比,ESPRIT算法性能更好。关键词:- AP-ML, AP-SSF,到达方向,ESPRIT,快照,信噪比
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