Dynamic threshold detection for maximum likelihood sequence estimation

Author

Fossorier, Marc P C

Author_Institution

Dept. of Electr. Eng., Hawaii Univ., Honolulu, HI, USA

fYear

1994

fDate

27 Jun-1 Jul 1994

Firstpage

178

Abstract

Maximum likelihood sequence estimation (MLSE) provides optimum detection for intersymbol interference (ISI) channels with additive white Gaussian noise (AWGN). This decoding process dynamically searches the minimum path through the ISI channel trellis, using the Viterbi algorithm. We exploit the structure of this trellis and present an equivalent optimum scheme based on dynamic quantization, which reduces the computational complexity

Keywords

Gaussian channels; Viterbi decoding; Viterbi detection; computational complexity; intersymbol interference; maximum likelihood estimation; quantisation (signal); AWGN channel; ISI channel trellis; MLSE; Viterbi algorithm; Viterbi detector; additive white Gaussian noise; computational complexity reduction; decoding; dynamic quantization; dynamic threshold detection; intersymbol interference; maximum likelihood sequence estimation; optimum detection; AWGN; Additive white noise; Computational complexity; Constellation diagram; Intersymbol interference; Maximum likelihood decoding; Maximum likelihood detection; Maximum likelihood estimation; Quantization; Viterbi algorithm;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Theory, 1994. Proceedings., 1994 IEEE International Symposium on

Conference_Location

Trondheim

Print_ISBN

0-7803-2015-8

Type

conf

DOI

10.1109/ISIT.1994.394794

Filename

394794