Asymptotic Performance of Weak Signal Detectors in Multiplicative and First-Order Markov Additive Noise Environment

Abstract

The use of an independent sample model may cause a considerable performance degradation in detection applications of modern high data rate communication systems exhibiting dependence among interference components. In this paper, we address the detection of weak known signals in observations corrupted by multiplicative and first-order Markov additive noise. The asymptotic performance of several detectors are obtained and compared, confirming that the dependence among interference components need to be taken into account to maintain performance accordingly.