| 基于小波分析与MUSIC法的联合算法对信号DOA的估计 |
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| 引用本文： | 李仁和.基于小波分析与MUSIC法的联合算法对信号DOA的估计[J].通信技术,2008,41(9). |
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| 作者姓名： | 李仁和 |
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| 作者单位： | 江苏省电子产品装备制造工程技术研究开发中心,江苏,淮安,223002;淮安信息职业技术学院,江苏,淮安,223002 |
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| 摘 要： | 文中在对传统MUSIC法的分析的基础上,引入小波多分辨分析的方法,提出了一种新的算法.该算法可以解决在低SNR环境,且阵元数目有限的情况下,对于传统的MUSIC法不能够准确分辨出DOA的问题.同时,该算法同样可以解决在SNR较高,但信号DOA相隔很近,传统的MUSIC法也不足以分辨开来的问题.加入小波多分辨去噪后,则在相同条件下可以有效将DOA分辨出来,理论分析和仿真结果表明,该算法能在不增加阵元数的情况下,有效提高信号的SNR,从而提高了阵列天线的性能.
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| 关 键 词： | 多分辨分析 信噪比 空间谱估计 小波变换 |
Estimation of Signals'DOA by Wavelet Analysis and MUSIC Based Union Algorithm |
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| LI Ren-he.Estimation of Signals''DOA by Wavelet Analysis and MUSIC Based Union Algorithm[J].Communications Technology,2008,41(9). |
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| Authors: | LI Ren-he |
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| Affiliation: | LI Ren-he (Research & Development Center of Electronic Products Equipment Manufacture of Jiangsu Province,Huaian Jiangsu 223002,China,Huaian College of Information Vocational Technology,China) |
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| Abstract: | This article,based on the analysis of traditional MUSIC algorithm,introduces the wavelet's multi-resolution analysis and proposes a new algorithm.This algorithm could mainly solve the problem in the limited array element number under the low SNR environment,that is,the DOA cannot be accurately distinguished by the traditional MUSIC algorithm.Simultaneously,this algorithm is also suitable for the signals' DOA which is spatially near and could not be separated,while in high SNR.However,when the wavelet multi-... |
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| Keywords: | DOA |
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