Performance analysis of trellis coded M-PSK systems over partial response-fading channels based on neural network approach

In this paper the partial response-fading channel is introduced. The new channel model acts like partial response signalling (PRS) having Rician probability density function. Analytical upper bounds of the trellis coded M-PSK structures are derived using the Chernoff bounding technique, combined with the modified generating functional approach for partial response-fading channels with ideal state information (CSI) and infinite interleaving/deinterleaving. One interesting result is that trellis coded 4-PSK systems have better error performance over partial response-fading channel than classical Ricia channels for signal to noise ratios greater than a threshold value, which has the best error performance in the literature. Neural network models of trellis coded 4-PSK schemes are introduced. The bit error event curves are derived using a backpropagation algorithm