Title :
Genetic algorithms for spatial spectral estimation
Author :
McClurkin, G.D. ; Sharman, K.C. ; Durrani, T.S.
Author_Institution :
Dept. of Electron. & Electr. Eng., Strathclyde Univ., Glasgow, UK
Abstract :
The authors propose a class of algorithms for estimating the directional spectrum of a traveling wavefield from noisy data collected by an array of spatially distributed sensors that need not be regularly spaced. They consider the application of genetic algorithms to find the maximum likelihood parameter estimates of a set of narrowband point wavefield sources. They include some experimental results that show that maximum likelihood techniques in conjunction with genetic algorithms can lead to better parameter estimates than conventional techniques such as MUSIC, ESPRIT, and others
Keywords :
signal processing; spectral analysis; directional spectrum; genetic algorithms; maximum likelihood parameter estimates; narrowband point wavefield sources; noisy data; signal processing; spatial spectral estimation; spatially distributed sensors array; spectral analysis; traveling wavefield; Array signal processing; Cost function; Genetic algorithms; Maximum likelihood estimation; Multiple signal classification; Narrowband; Parameter estimation; Sensor arrays; Signal processing algorithms; Stochastic processes;
Conference_Titel :
Spectrum Estimation and Modeling, 1988., Fourth Annual ASSP Workshop on
Conference_Location :
Minneapolis, MN
DOI :
10.1109/SPECT.1988.206213