Title :
Detection and localization of multiple sources via the stochastic signals model
Author_Institution :
RAFAEL, Haifa, Israel
fDate :
11/1/1991 12:00:00 AM
Abstract :
A method for the detection of coherent and noncoherent signals based on the application of J. Rissanen´s (1978) minimum-description-length principle for model selection to the stochastic signals model is presented. The detection and localization are done simultaneously with the location estimator coinciding with the maximum-likelihood estimator derived by J.F. Bohme (1986). The proposed method outperforms the method of M. Wax and I. Ziskind (1989), especially in the threshold region. Simulation results demonstrating the improved performance are included
Keywords :
parameter estimation; signal detection; signal processing; array processing; coherent signals; localization; location estimator; maximum-likelihood estimator; minimum-description-length principle; multiple sources; noncoherent signals; sensor array; signal detection; stochastic signals model; Covariance matrix; Eigenvalues and eigenfunctions; Helium; Maximum likelihood detection; Maximum likelihood estimation; Narrowband; Sensor arrays; Sensor phenomena and characterization; Stochastic processes; Wideband;
Journal_Title :
Signal Processing, IEEE Transactions on
