Title :
A Viterbi-type algorithm for efficient estimation of M-PSK sequences over the Gaussian channel with unknown carrier phase
Author :
Kam, Pooi Yuen ; Sinha, Pranesh
Author_Institution :
Dept. of Electr. Eng., Nat. Univ. of Singapore, Singapore
fDate :
9/1/1995 12:00:00 AM
Abstract :
A Viterbi-type algorithm for the efficient estimation of a convolutionally/trellis coded, or uncoded M-PSK sequence over the Gaussian channel with unknown carrier phase is presented. It performs coherent detection of M-PSK sequences with no explicit recovery of coherent references. The metric computations involve only linear operations. Theoretical and simulated performance results are presented for various carrier phase processes. The algorithm is called the suboptimum ML estimator (SMLE). Its BER in the presence of a time invariant carrier phase is obtained analytically. The simulation results for the BER with time-invariant as well as time-varying carrier phase processes allow a comparison of the performance of the SMLE with other sequence estimation algorithms, and enable the applicability of the SMLE to burst mode TDMA communications to be ascertained
Keywords :
Gaussian channels; Viterbi detection; coding errors; convolutional codes; error statistics; estimation theory; maximum likelihood estimation; phase shift keying; time division multiple access; trellis codes; BER; Gaussian channel; M-PSK sequences estimation; Viterbi-type algorithm; burst mode TDMA communications; carrier phase; coherent detection; convolutionally coded sequences; linear operations; metric computations; sequence estimation algorithms; simulated performance results; suboptimum ML estimator; time invariant carrier phase; time-varying carrier phase; trellis coded sequences; AWGN; Bit error rate; Computational modeling; Convolutional codes; Error probability; Gaussian channels; Maximum likelihood decoding; Maximum likelihood estimation; Phase estimation; Viterbi algorithm;
Journal_Title :
Communications, IEEE Transactions on
