Title :
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
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;
Conference_Titel :
Vehicular Technology Conference, 1996. Mobile Technology for the Human Race., IEEE 46th
Conference_Location :
Atlanta, GA
Print_ISBN :
0-7803-3157-5
DOI :
10.1109/VETEC.1996.501400
