文件名称:MUSIC_RMSE_SNR
- 所属分类:
- 图形图像处理(光照,映射..)
- 资源属性:
- [Matlab] [源码]
- 上传时间:
- 2016-01-23
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- 2kb
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- 0次
- 提 供 者:
- maom****
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智能天线的核心技术之一是波达方向估计,在无线通信中具有重要作用。MUSIC算法是一种经典的DOA估计算法,但因其计算量大、对于相干及小信噪比信号无法分辨等缺陷,故有较多的改进算法被提出。文中研究了求根MUSIC算法、基于空间平滑技术的MUSIC算法、改进MUSIC算法及修正MUSIC算法。通过仿真分析了角度间隔、信噪比、信号相干对改进MUSIC算法分辨率的影响。以上几种改进MUSIC算法进一步发挥了该算法高分辨率的优势,且有利于其在智能天线方面的应用。-One of the core technology of smart antenna is DOA estimation, which plays an important role in wireless communication. MUSIC algorithm is a classic DOA estimation algorithm, but because of its large amount of computation, the coherent and small signal to noise ratio of the signal can not be resolved and other defects, so there are many improved algorithms are proposed. This paper studies the root MUSIC algorithm based on spatial smoothing technique, the improved MUSIC algorithm, MUSIC algorithm and modified MUSIC algorithm. The influence of angle interval, signal to noise ratio and signal coherence on the resolution of the improved MUSIC algorithm is analyzed by simulation. The above improved MUSIC algorithm to further play the advantage of the high resolution of the algorithm, and it is conducive to the application of the smart antenna.
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MUSIC_RMSE_SNR.m