Analysis of an ML data-aided phase ambiguity resolution algorithm for M-PSK
نویسندگان
چکیده
This contribution considers the data-aided (DA) maximum-likelihood carrier phase ambiguity resolution algorithm for coded M-PSK signaling. We derive analytical performance results of the algorithm when operating in the presence of phase estimation errors. As the use of a pilot sequence reduces the spectral efficiency of the system, we determine analytically the minimal pilot sequence length for coded and uncoded systems such that the overall BER degradation due to phase ambiguity resolution errors is limited to an acceptable value. We show that powerful errorcorrecting codes require pilot sequences that are substantially longer than for uncoded transmission; however, these longer pilot sequences usually account for only a small fraction of the overall frame length.
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