比较ML、MUSIC、ROOT-MUSIC和空间平滑算法对2个用户的精度

2009 Mediterrannean Microwave Symposium (MMS) Pub Date : 2009-11-01 DOI:10.1109/MMS.2009.5409832

M. Jalali, Mohamad Naser Moghaddasi, Alireza Habibzadeh

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引用次数: 29

摘要

本文对四种著名的DOA算法进行了仿真，并通过对两种不同用户的精度水平角的发现和估计进行了比较，在比较表中展示了四种算法的仿真结果，可以看出ROOT-MUSIC算法在近角(28,30度)估计方面具有很高的精度。MUSIC、spatial Smoothed和ML算法分别在精度上有了下一步的发展。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Comparing accuracy for ML, MUSIC, ROOT-MUSIC and spatially smoothed algorithms for 2 users

In this article we simulate four famous algorithms in DOA and then compare the algorithms based on their finding and estmating of the accuracy level angels from two different users, having demonstrated the result of simulation of the four algorithms in comparison tables, it is observed that ROOT-MUSIC algorithm have high level of accuracy in estimation of close angles(28, 30 degrees). MUSIC, Spatially Smoothed and ML algorithms have the next steps in accuracy respectively.

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2009 Mediterrannean Microwave Symposium (MMS)

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