Title :
Adaptive MLSE of QAM signals over frequency nonselective Rayleigh fading channels
Author :
Hong, Henry ; Shwedyk, E.
Author_Institution :
Dept. of Electr. & Comput. Eng., Winnipeg Univ., Man., Canada
fDate :
12/1/1998 12:00:00 AM
Abstract :
Maximum likelihood sequence estimation (MLSE) of QAM signals over frequency nonselective Rayleigh fading channels is examined. Adaptive prediction filters are applied to reduce the computational complexity related to the design of the prediction filters. The error performance of this receiver is evaluated through computer simulations. It is found that the superior error performance of the 16 star QAM signals over 16-DPSK for coherent detection is preserved for MLSE when adaptive prediction filters are used
Keywords :
Rayleigh channels; adaptive estimation; adaptive filters; adaptive signal detection; computational complexity; differential phase shift keying; filtering theory; maximum likelihood sequence estimation; mobile satellite communication; prediction theory; quadrature amplitude modulation; radio receivers; 16 star QAM signals; 16-DPSK; QAM signals; adaptive MLSE; adaptive prediction filters; coherent detection; computational complexity reduction; computer simulations; error performance; frequency nonselective Rayleigh fading; frequency nonselective Rayleigh fading channels; maximum likelihood sequence estimation; mobile satellite; prediction filters design; receiver;
Journal_Title :
Communications, IEE Proceedings-
DOI :
10.1049/ip-com:19982451
