Panagiotis G. Babalis

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New analytical expressions for the symbol error probability of coherent M-PSK and noncoherent M-FSK in a nondispersive channel modeled by a combination of POCA and log-normal statistics are derived. The POCA-Ln model is shown to be more general than other known models, such as the Suzuki model, as it can be applied in any environment with a small number of(More)
A new soft decision maximum-likelihood decoding algorithm, which generates the minimum set of candidate codewords by efficiently applying the algebraic decoder is proposed. As a result, the decoding complexity is reduced without degradation of performance. The new algorithm is tested and verified by simulation results.
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