DocumentCode :
1439070
Title :
Adaptive symbol-by-symbol reception of MPSK on the Gaussian channel with unknown carrier phase characteristics
Author :
Kam, Pooi Yuen ; Chua, Keng Hong ; Yu, Xiaofeng
Author_Institution :
Dept. of Electr. Eng., Nat. Univ. of Singapore, Singapore
Volume :
46
Issue :
10
fYear :
1998
fDate :
10/1/1998 12:00:00 AM
Firstpage :
1275
Lastpage :
1279
Abstract :
An adaptive version of the optimum, decision-aided, symbol-by-symbol receiver obtained in our previous works for M-ary phase shift keying over the Gaussian channel with unknown carrier phase characteristics is considered. It uses a first-order adaptive filter for carrier reference tracking, and the filter gain is adapted on-line based on the observed signal samples using a least-mean-square-error criterion. The phase tracking performance of the filter in the steady-state tracking mode is analyzed using a linearized model. The phase tracking error variance is minimized due to the risk function used in designing the filter gain adaptation algorithm. The bit-error probability for quadrature phase shift-keying is obtained, both analytically and via computer simulations
Keywords :
Gaussian channels; adaptive filters; error statistics; least mean squares methods; phase shift keying; quadrature phase shift keying; receivers; tracking; Gaussian channel; M-ary phase shift keying; MPSK; adaptive symbol-by-symbol reception; bit-error probability; carrier reference tracking; coherent detection; computer simulations; filter gain; filter gain adaptation algorithm; first-order adaptive filter; least-mean-square-error criterion; linearized model; optimum decision-aided symbol-by-symbol receiver; phase tracking error variance; phase tracking performance; quadrature phase shift-keying; risk function; steady-state tracking mode; unknown carrier phase characteristics; AWGN; Adaptive filters; Additive white noise; Gaussian channels; Gaussian noise; Phase detection; Phase noise; Phase shift keying; Signal generators; Signal to noise ratio;
fLanguage :
English
Journal_Title :
Communications, IEEE Transactions on
Publisher :
ieee
ISSN :
0090-6778
Type :
jour
DOI :
10.1109/26.725305
Filename :
725305
Link To Document :
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