The main objective of this article is to improve the performance of SDWTPMUSIC algorithm to SDWPPMUSIC algorithm.Then,we compare its performancem with 3 famous eigen structurealgorithms, 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 werecompared with experimental ones. The comparison shows that the MUSIC algorithm is more accurate andstable compared to the ESPRIT,MLE and SDWPPMUSCI algorithms.