PERFORMANCE ANALYSIS OF ML AND MMSE DECODING USING GRADIENT BASED ALGORITHM

Abstract

Discrete-time all-analog-processing joint source-channel coding with Maximum Likelihood (ML) and Minimum Mean Square Error (MMSE) detections are employed in fast fading Rayleigh channel. Co-operative communication achieves spatial diversity using single antenna devices. Spatial diversity improves the performance of analog joint source-channel coding in wireless fading channels. In the case of discrete time processing signals ML decoding is unstable when compared to MMSE. Thus gradient based algorithm is proposed to reduce the complexity of the ML decoding. This algorithm quantizes the discrete processing signals into a continuous process. It also increases the capacity and cost of the channels thus making it suitable for the multiple input multiple output (MIMO) systems.