Title :
Applications of cumulants to array processing. II. Non-Gaussian noise suppression
Author :
Dogan, Mithat C. ; Mendel, Jerry M.
Author_Institution :
Signal & Image Process. Inst., Univ. of Southern California, Los Angeles, CA, USA
fDate :
7/1/1995 12:00:00 AM
Abstract :
The main motivation of using higher order statistics in signal processing applications has been their insensitivity to additive colored Gaussian noise. The main objection to those methods is their possible vulnerability to non-Gaussian noise. The authors investigate the effects of non-Gaussian ambient noise on cumulant-based direction-finding systems using the interpretation for the information provided by cumulants for array processing applications described in Dogan and Mendek. they first demonstrate the suppression of uncorrelated non-Gaussian noise that has spatially varying statistics. Then, they indicate methods to suppress spatially colored non-Gaussian noise using cumulants and an additional sensor whose measurement noise component is independent of the noise components of the original array measurements. They also indicate the noise suppression properties of the virtual-ESPRIT algorithm proposed in Dogan and Mendel. In addition, they propose a method that combines second- and fourth-order statistics together in order to suppress spatially colored non-Gaussian noise. Finally, they also illustrate how to suppress spatially colored non-Gaussian noise when the additional sensor measurement is not available. Simulations are presented to verify the results
Keywords :
direction-of-arrival estimation; higher order statistics; interference (signal); interference suppression; additive colored Gaussian noise; array processing; cumulant-based direction-finding systems; cumulants; fourth-order statistics; higher order statistics; nonGaussian noise suppression; second-order statistics; spatially colored nonGaussian noise; spatially varying statistics; uncorrelated nonGaussian noise; virtual-ESPRIT algorithm; Additive noise; Antenna arrays; Array signal processing; Colored noise; Covariance matrix; Gaussian noise; Higher order statistics; Noise measurement; Sensor arrays; Signal processing algorithms;
Journal_Title :
Signal Processing, IEEE Transactions on