基于Gibbs-MUSIC方法的多维参数联合估计

2007 International Symposium on Intelligent Signal Processing and Communication Systems Pub Date : 2007-11-01 DOI:10.1109/ISPACS.2007.4445902

Jianguo Huang, Yong Jin, Lijie Zhang

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引用次数: 0

摘要

提出了一种基于Gibbs-MUSIC方法的多维参数联合估计器，用于联合估计多源的方位和高程。该方法将MUSIC谱函数的幂视为达到比例常数的目标分布，并对该分布进行吉布斯采样。仿真结果表明，在信号源有限的情况下，该方法在保持传统MUSIC的高分辨率性能的同时，减少了计算和存储成本。

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Multi-dimensional parameters joint estimator by Gibbs-MUSIC method

A multi-dimensional parameters joint estimator by Gibbs-MUSIC method (GSM) is proposed to jointly estimate the azimuth and elevation of multiple sources. In this method, the power of MUSIC spectrum function is regarded as target distribution up to a constant of proportionality, and Gibbs sampling is done on this distribution. Simulation results show that this new method preserves the performance of high-resolution in conventional MUSIC and reduces computation and storage costs at the same time when signal sources are quite limited.

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2007 International Symposium on Intelligent Signal Processing and Communication Systems

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