Abstract
A Viterbi type algorithm is presented for adaptive estimation of MPSK sequences over a Rayleigh fading channel with unknown fading spectrum and unknown additive channel noise intensity. It uses a new, weighted least-squares decision metric. Simulations show significant performance gains over both differential detection and adaptive symbol-by-symbol detection proposed in .
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