Journal Article

·2015

BLM detection in AF based relay networks

Omar Gatera , A.H. Kayran YTU , Hacı İlhan YTU

Abstract

This paper presents a study of detection performance of Bayesian linear model (BLM) detector for amplify and forward (AF) cooperative communication systems in Rayleigh fading channels. We consider that signals propagation between the source and destination suffer from destructive effects such as noise, multi-path fading, shadowing and other channel impairments. Therefore, BLM detection in relay networks is a proposed method to improve the signal detection performance and to reduce the implementation complexity of the system. The system performance is analyzed in terms of probability of detection against the probability of false alarm and probability of missed detection against the probability of false alarm knows as receiver operating characteristics (ROC) and complementary ROC respectively. Matlab simulations and results analysis are presented. The results showed that the proposed method can be effective in improving the detection performance in AF relay networks.

Keywords

False alarm Computer science Rayleigh fading Fading Detection theory Relay Detector Channel (broadcasting) Bayesian probability Signal-to-noise ratio (imaging) Electronic engineering Algorithm Real-time computing Artificial intelligence Telecommunications Engineering

Subject Areas

Cognitive Radio Networks and Spectrum Sensing ·Computer Networks and Communications ·Physical Sciences
Distributed Sensor Networks and Detection Algorithms ·Computer Networks and Communications ·Physical Sciences
Cooperative Communication and Network Coding ·Computer Networks and Communications ·Physical Sciences

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