On the multichannel innovations based detection algorithm for correlated non-Gaussian random processes

M Rangaswamy,J.H Michels,D.D Weiner

doi:10.1109/acssc.1993.342502

On the multichannel innovations based detection algorithm for correlated non-Gaussian random processes

M Rangaswamy, J.H Michels + Show 1 more

https://doi.org/10.1109/acssc.1993.342502

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Publication Date: Nov 1, 1993

Citations: 3

Affiliation: Syracuse University

#Spherically Invariant Random Processes #Autoregressive Process Of Order + Show 8 more

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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. >

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