Title :
On the multichannel innovations based detection algorithm for correlated non-Gaussian random processes
Author :
Rangaswamy, Muralidhar ; Michels, James H. ; Weiner, Donald D.
Author_Institution :
Rome Lab./ERCE, Hanscom AFB, MA, USA
Abstract :
The paper addresses the problem of multichannel signal detection in additive correlated non-Gaussian noise using the innovations approach. Spherically invariant random processes (SIRP) are used for modeling the additive non-Gaussian noise phenomena. The resulting innovations based detector is shown to be canonical for SIRPs. An autoregressive process of order two [AR(2)] is used to approximate the SIRPs. The effect of estimated AR parameters on the performance of the innovations based detector is presented
Keywords :
autoregressive processes; correlation methods; interference (signal); random processes; signal detection; SIRP; additive correlated nonGaussian noise; autoregressive process; correlated nonGaussian random processes; multichannel innovations based detection algorithm; multichannel signal detection; spherically invariant random processes; Additive noise; Autoregressive processes; Covariance matrix; Detection algorithms; Detectors; Ear; Laboratories; Parameter estimation; Random processes; Sampling methods; Signal detection; Technological innovation;
Conference_Titel :
Signals, Systems and Computers, 1993. 1993 Conference Record of The Twenty-Seventh Asilomar Conference on
Conference_Location :
Pacific Grove, CA
Print_ISBN :
0-8186-4120-7
DOI :
10.1109/ACSSC.1993.342502
