Title :
Blind deconvolution using a maximum likelihood channel estimator
Author :
Ghosh, M. ; Weber, C.L.
Author_Institution :
Commun. Sci. Inst., Univ. of Southern California, Los Angeles, CA, USA
Abstract :
A channel estimator is presented that does not depend on a learning sequence or estimated data sequence for identifying the unknown channel. The authors endeavor to solve the problem of blind equalization in two steps. First, a maximum-likelihood estimate is made of the unknown channel from the received data alone. These estimates are then used in a maximum likelihood sequence (Viterbi) decoder to recover the transmitted digital message. Simulation results show that the probability of error obtained by this approach is comparable to that obtained with a Viterbi decoder operating with known rather than estimated channel symbols
Keywords :
decoding; digital communication systems; telecommunication channels; Viterbi decoder; blind deconvolution; blind equalization; maximum likelihood channel estimator; maximum-likelihood estimate; probability of error; Blind equalizers; Cost function; Data communication; Deconvolution; Delay lines; Filters; Frequency response; Maximum likelihood decoding; Maximum likelihood estimation; Viterbi algorithm;
Conference_Titel :
Computers and Communications, 1991. Conference Proceedings., Tenth Annual International Phoenix Conference on
Conference_Location :
Scottsdale, AZ
Print_ISBN :
0-8186-2133-8
DOI :
10.1109/PCCC.1991.113847
