A semi-blind EMVA for maximum likelihood equalization of GMSK signal in ISI fading channels

被引:0
|
作者
Nguyen, H [1 ]
Levy, BC [1 ]
机构
[1] Univ Calif Davis, Dept Elect & Comp Engn, Davis, CA 95616 USA
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中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
We examine the maximum likelihood (ML) equalization of Gaussian minimum shift keyed (GMSK) signals in GSM systems. The method we employ is based on the expectation maximization Viterbi algorithm (EMVA) [1][2][3]. The. EMVA is applicable to transmission schemes that can be modeled as a finite state machine (FSM), whose noisy output sequence is thus a hidden Markov chain. The GMSK signal transmitted via an inter-symbol interference.(ISI) channel is just one particular instance of a hidden Markov model [2][3][4]. Our channel identification procedure makes full use of the known training bits available in each GSM frame and thereby results in a semi-blind EMVA (SbEMVA). For a static ISI channel, simulation results indicate that the SbEMVA is near-optimal in error-performance. For a Ricean fading ISI channel with a spread factor of 0.01, a K factor of 5, and at a BER of 10(-3), we fend that the SbEMVA is about 4 dB better than the ML receiver that uses the channel estimate obtained from just the training data.
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页码:1905 / 1908
页数:4
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