Title :
A high-performance reduced-complexity GMSK demodulator
Author :
Al-Dhahir, Naofal ; Saulnier, Gary
Author_Institution :
GE Corporate R&D Center, Schenectady, NY, USA
Abstract :
A four-state adaptive MLSE demodulator for GMSK modulation (BT=0.3) on AWGN channels is analyzed and simulated. This demodulator uses the linear representation of GMSK signals and achieves the same BER performance as MSK. The channel impulse response coefficients used in the MLSE branch metric calculations are derived in closed form and adapted in a decision-directed mode to offset any performance losses incurred by retaining only one term in the linear representation. The number of states in the MLSE demodulator is reduced to two, at about 0.1 dB performance loss, by preceding it with a whitened matched filter.
Keywords :
Gaussian channels; adaptive estimation; computational complexity; estimation theory; matched filters; maximum likelihood estimation; minimum shift keying; mobile communication; signal representation; transient response; AWGN channels; BER performance; GMSK modulation; GMSK signals; MLSE branch metric calculations; channel impulse response coefficients; decision-directed mode; four-state adaptive MLSE demodulator; high-performance reduced-complexity GMSK demodulator; linear representation; maximum likelihood sequence estimation; performance losses; simulation; whitened matched filter; AWGN; Analytical models; Bit error rate; Demodulation; Digital modulation; Fading; Matched filters; Maximum likelihood estimation; Performance loss; Viterbi algorithm;
Conference_Titel :
Signals, Systems and Computers, 1996. Conference Record of the Thirtieth Asilomar Conference on
Conference_Location :
Pacific Grove, CA, USA
Print_ISBN :
0-8186-7646-9
DOI :
10.1109/ACSSC.1996.601118
