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Performance degradation is an major problem in a relay based Decode-and-Forward (DF) receiving cooperative system. In the DF protocol, existing decoder performances have high decoding complexity, because destination require exact knowledge of the source-relay link along with the channel coefficient of source-destination and relay - destination links. In the proposed method, degradation can be avoided by using Maximum-Likelihood (ML) decoder at destination, assuming that average probability of error of source-relay link known to destination. Since average probability of error is a function of the average SNR, the proposed ML decoder avoids the need of exact knowledge of the channel coefficient of the source-relay link in the destination node.
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