Multi-dimensional parameters joint estimator by Gibbs-MUSIC method

Author

Huang, Jianguo ; Jin, Yong ; Zhang, Lijie

Author_Institution

Northwestern Polytech. Univ., Xian

fYear

2007

fDate

Nov. 28 2007-Dec. 1 2007

Firstpage

376

Lastpage

379

Abstract

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.

Keywords

Markov processes; Monte Carlo methods; multidimensional signal processing; signal classification; signal sampling; Gibbs sampling; Gibbs-MUSIC method; multi-dimensional parameters joint estimator; multiple signal classification algorithm; signal sources; target distribution; Azimuth; Computational efficiency; Computational modeling; Grid computing; Multidimensional signal processing; Multiple signal classification; Parameter estimation; Sampling methods; Signal processing algorithms; Signal sampling; Gibbs sampling; MUSIC method; Markov Chain Monte Carlo (MCMC);

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Signal Processing and Communication Systems, 2007. ISPACS 2007. International Symposium on

Conference_Location

Xiamen

Print_ISBN

978-1-4244-1447-5

Electronic_ISBN

978-1-4244-1447-5

Type

conf

DOI

10.1109/ISPACS.2007.4445902

Filename

4445902