改进阵列分辨率的两步MUSIC算法

信号处理 Pub Date : 2001-08-06 DOI:10.1109/SSP.2001.955335

R. Chavanne, Karim Abed-Meraim, D. Medynski

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引用次数: 9

摘要

高分辨率的方法，如MUSIC，无法在困难的环境下(低信噪比、短样本量等)分离出间隔很近的源。Halder等人(1997)应用了交错技术来提高分辨率以及频率估计情况下的性能。在这里，我们扩展了这项工作，并讨论了该技术在数组处理中的应用。我们的目标是估计紧密间隔的doa。在使用MUSIC进行第一次估计之后，算法的第二步包括使用下采样协方差矩阵以及类似于Gershman等人(1996)提出的联合估计策略(JES)来改进角度分辨率。这种方法提高了MUSIC性能，特别是在低信噪比的情况下。仿真示例说明了所提出的两步music (TS-MUSIC)方法的性能。

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Two-step MUSIC algorithm for improved array resolution

High resolution methods such as MUSIC fail to separate closely spaced sources in difficult contexts (low SNR, short sample size,...). Halder et al.(1997) have applied an interleaving technique to improve the resolution as well as the performances in the case of frequency estimation. Here we extend this work and deal with the application of this technique to array processing. We aim to estimate closely spaced DOAs. After a first estimation with MUSIC, a second step of the algorithm consists in refining the angle resolution using downsampled covariance matrices together with a joint estimation strategy (JES) similar to that proposed by Gershman et al. (1996). This method improves MUSIC performances especially for low SNRs. Simulations examples are provided to illustrate the performance of the proposed method referred to as two step-MUSIC (TS-MUSIC).

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来源期刊

信号处理

自引率

0.00%

发文量

5812

期刊介绍： Journal of Signal Processing is an academic journal supervised by China Association for Science and Technology and sponsored by China Institute of Electronics. The journal is an academic journal that reflects the latest research results and technological progress in the field of signal processing and related disciplines. It covers academic papers and review articles on new theories, new ideas, and new technologies in the field of signal processing. The journal aims to provide a platform for academic exchanges for scientific researchers and engineering and technical personnel engaged in basic research and applied research in signal processing, thereby promoting the development of information science and technology. At present, the journal has been included in the three major domestic core journal databases "China Science Citation Database (CSCD), China Science and Technology Core Journals (CSTPCD), Chinese Core Journals Overview" and Coaj. It is also included in many foreign databases such as Scopus, CSA, EBSCO host, INSPEC, JST, etc.