DocumentCode :
1084170
Title :
Noncoherent detection of convolutionally encoded continuous phase modulation
Author :
Andersson, S. Torgny ; Svensson, N. Arne B
Author_Institution :
Inst. for Telecommun. Theory, Lund Univ., Sweden
Volume :
7
Issue :
9
fYear :
1989
fDate :
12/1/1989 12:00:00 AM
Firstpage :
1402
Lastpage :
1414
Abstract :
The authors consider the error probability at large signal-to-noise ratios of rate-1/2 convolutionally encoded CPFSK (continuous-phase frequency-shift keying) with an optimum noncoherent detector on an additive white Gaussian noise channel. The performance is given in terms of a parameter called the minimum squared normalized equivalent Euclidean distance which plays the same role mathematically as the minimum squared normalized Euclidean distance used for coherent detectors. It is shown that by introducing convolutional coding the error performance is significantly improved. The authors propose a decoding algorithm for these convolutionally encoded CPM schemes which is based on a limited tree search algorithm and uses the maximum-likelihood decision rule for noncoherent detection. Computer simulations show that the degradation in error performance compared to the performance of the optimum coherent Viterbi detector is less than 1 dB with a relatively simple noncoherent detector on an additive white Gaussian noise channel for most of the schemes considered
Keywords :
decoding; encoding; frequency shift keying; signal detection; CPFSK; additive white Gaussian noise channel; continuous-phase frequency-shift keying; convolutional coding; convolutionally encoded continuous phase modulation; decoding algorithm; error probability; limited tree search algorithm; maximum-likelihood decision rule; minimum squared normalized equivalent Euclidean distance; noncoherent detection; Additive white noise; Computer errors; Convolution; Convolutional codes; Detectors; Error probability; Euclidean distance; Frequency shift keying; Phase detection; Signal to noise ratio;
fLanguage :
English
Journal_Title :
Selected Areas in Communications, IEEE Journal on
Publisher :
ieee
ISSN :
0733-8716
Type :
jour
DOI :
10.1109/49.44584
Filename :
44584
Link To Document :
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