期刊名称：Walailak Journal of Science and Technology (WJST)
印刷版ISSN：2228-835X
出版年度：2015
卷号：13
期号：6
页码：491-502
语种：English
出版社：Institute of Research and Development, Walailak University.
摘要：The main objective of this article is to compare the performance of 3 famous Eigen structure algorithms, known as the Multiple Signal Classification (MUSIC), the Estimation of Signal Parameter via Rotational Invariance Techniques (ESPRIT), and non-subspace method Maximum-Likelihood Estimation (MLE) for Direction of Arrival (DOA).The performance of this DOA estimation algorithm is based on Uniform Linear Array (ULA). A number of simulation results were carried out using MATLAB and were compared with experimental ones. The comparison shows that the MUSIC algorithm is more accurate and stable compared to the ESPRIT and MLE algorithms.
