Locally Optimum Detection of Signals in Multiplicative and First-Order Markov Additive Noises

Abstract--In most previously reported studies on locally optimum detection of signals, independent observations have been assumed in various noise environments. The use of an independent observation 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, the detection of weak known and random signals is addressed in observations corrupted by multiplicative and first-order Markov additive noises. The asymptotic and finite sample-size performance of several detectors are obtained and compared: it is confirmed that the dependence of noise components need to be taken into account to maintain detection performance appropriately.

• Type: Journal
• Year: 2008
• Where: TIT
• Authors: Jumi Lee, Iickho Song, Hyoungmoon Kwon, Hong Jik Kim
• Keywords: Considerable Performance Degradation, Detection, Independent Observation, TIT 2008