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

来源：

THIRTY-SIXTH ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS & COMPUTERS - CONFERENCE RECORD, VOLS 1 AND 2, CONFERENCE RECORD | 2002年

关键词：

D O I：

暂无

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.

引用

页码：1905 / 1908

页数：4