Title :
Branch-dependent metric for Viterbi based receivers for GMSK in frequency selective fading channel
Author :
Sánchez-Pérez, Ramón ; Casajús-Quirós, F.J. ; Pasupathy, Subbarayan
Author_Institution :
ETSI Telecomunicacion, Univ. Politecnica de Madrid, Spain
Abstract :
Maximum likelihood sequence detection (MLSD) using the Viterbi algorithm (VA) is a widely employed detection technique for both coherent and non-coherent detection of continuous phase modulation (CPM) signals due to the inherently nonlinear behaviour of the digital channel. In particular, its application to limiter-discriminator (LD) demodulation schemes has received wide attention in the last years. Somehow, most of the VA proposed, recognize but neglect the effect of the non-Gaussian frequency noise at the output of the LD. As we show in this work this question is closely related to the signal envelope behaviour and hence becomes more important in the presence of frequency selective fading. Two simple schemes that provide a fair solution to that problem are proposed an evaluated in this contribution
Keywords :
Rician channels; continuous phase modulation; demodulation; discriminators; limiters; maximum likelihood detection; minimum shift keying; noise; radio receivers; CPM signals; GMSK; Rician channel; Viterbi algorithm; Viterbi based receivers; branch-dependent metric; coherent detection; continuous phase modulation; digital channel; frequency selective fading; frequency selective fading channel; limiter-discriminator demodulation; maximum likelihood sequence detection; nonGaussian frequency noise; noncoherent detection; nonlinear behaviour; signal envelope; Chirp modulation; Demodulation; Detectors; Fading; Frequency estimation; Maximum likelihood detection; Noise level; Nonlinear distortion; Phase detection; Viterbi algorithm;
Conference_Titel :
Personal, Indoor and Mobile Radio Communications, 2000. PIMRC 2000. The 11th IEEE International Symposium on
Conference_Location :
London
Print_ISBN :
0-7803-6463-5
DOI :
10.1109/PIMRC.2000.881600