Title :
Dynamic threshold detection for maximum likelihood sequence estimation
Author :
Fossorier, Marc P C
Author_Institution :
Dept. of Electr. Eng., Hawaii Univ., Honolulu, HI, USA
fDate :
27 Jun-1 Jul 1994
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;
Conference_Titel :
Information Theory, 1994. Proceedings., 1994 IEEE International Symposium on
Conference_Location :
Trondheim
Print_ISBN :
0-7803-2015-8
DOI :
10.1109/ISIT.1994.394794
