DocumentCode :
2167573
Title :
Carrier and phase recovery for coded systems using a preamble sequence with reliability information over AWGN channels
Author :
Cassaro, T. ; Georghiades, C.N.
Author_Institution :
Dept. of Electr. Eng., Texas A&M Univ., College Station, TX, USA
Volume :
1
fYear :
2000
fDate :
2000
Firstpage :
326
Abstract :
Channel coding is an integral part of most data communication systems. However, most existing carrier synchronization algorithms do not take advantage of the redundancy introduced in the data stream by the code and operate at an uncoded SNR which can be significantly lower than the coded SNR. Thus, whereas it used to be the case that if detection could be achieved reliably, so could synchronization, this may not be true any more for heavily coded systems. We introduce an approximate maximum likelihood estimator that incorporates the code structure in obtaining phase estimates. Simulation results show the performance of the introduced algorithm is significantly better than those which do not make use of the code structure
Keywords :
AWGN channels; approximation theory; channel coding; data communication; decoding; digital simulation; maximum likelihood estimation; phase estimation; reliability; sequences; synchronisation; AWGN channels; BPSK; algorithm performance; approximate maximum likelihood estimator; carrier recovery; carrier synchronization algorithms; channel coding; code structure; coded SNR; coded systems; data communication systems; data stream redundancy; decoding; detection; modified Cramer-Rao bound; phase estimates; phase recovery; preamble sequence; reliability information; simulation results; uncoded SNR; AWGN channels; Additive white noise; Channel coding; Discrete Fourier transforms; Forward error correction; Frequency estimation; Maximum likelihood detection; Maximum likelihood estimation; Phase estimation; Signal to noise ratio;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications, 2000. ICC 2000. 2000 IEEE International Conference on
Conference_Location :
New Orleans, LA
Print_ISBN :
0-7803-6283-7
Type :
conf
DOI :
10.1109/ICC.2000.853174
Filename :
853174
Link To Document :
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