摘要
使用均匀线性天线阵列雷达,在MUSIC小波预处理方法的基础上对其进行改进,将小波预处理MUSIC算法改进成小波包预处理MUSIC算法,并将其与旋转不变子空间算法(ESPRIT)算法、最大似然估计法(MLE)算法和小波预处理MUSIC算法进行仿真比较,通过计算机仿真结果证明,改进后的小波包预处理MUSIC法比小波预处理MUSIC方法具有更高的精确度和更好的稳定性。
The main objective of this article is to improve the performance of SDWTP-MUSIC algorithm to SDWPPMUSIC 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.
出处
《电子测量技术》
2017年第10期109-112,共4页
Electronic Measurement Technology
