Adaptive state allocation in MLSE for Rayleigh fading channels

Author

Zamiri-Jafarian, H. ; Pasupathy, S.

Author_Institution

Dept. of Electr. & Comput. Eng., Toronto Univ., Ont., Canada

Volume

2

fYear

1996

Firstpage

691

Abstract

Maximum likelihood sequence estimation (MLSE) using an adaptive state allocation (ASA) algorithm for detecting signals transmitted over Rayleigh fading channels is proposed. Though MLSE is an optimal scheme, its computational complexity limits the application. The ASA algorithm is a suboptimal receiver whose performance is close to that of the MLSE with greatly reduced computational complexity. Adaptive partitioning is used in this algorithm by measuring the short-term received signal power. Also with an adaptive threshold selected based on the Chernoff distance, only a few states of the trellis diagram are chosen as the most likely correct states in the ASA algorithm

Keywords

Rayleigh channels; adaptive signal detection; computational complexity; estimation theory; fading; maximum likelihood estimation; radio receivers; ASA algorithm; Chernoff distance; MLSE; Rayleigh fading channels; adaptive partitioning; adaptive state allocation algorithm; adaptive threshold; bandlimited signals; computational complexity; maximum likelihood sequence estimation; optimal scheme; performance; short-term received signal power; signal detection; suboptimal receiver; trellis diagram; Computational complexity; Fading; Intersymbol interference; Maximum likelihood detection; Maximum likelihood estimation; Multipath channels; Partitioning algorithms; Power measurement; Rayleigh channels; State estimation;

fLanguage

English

Publisher

ieee

Conference_Titel

Vehicular Technology Conference, 1996. Mobile Technology for the Human Race., IEEE 46th

Conference_Location

Atlanta, GA

ISSN

1090-3038

Print_ISBN

0-7803-3157-5

Type

conf

DOI

10.1109/VETEC.1996.501400

Filename

501400