Title :
A structured channel estimator for maximum-likelihood sequence detection
Author :
Ng, Boon Chong ; Cedervall, Mats ; Paulraj, A.
Author_Institution :
Dept. of Electr. Eng., Stanford Univ., CA, USA
fDate :
3/1/1997 12:00:00 AM
Abstract :
This letter describes a channel estimator using known prior information about the transmit and receive filters. It is shown that the composite channel lies in the subspace of the transmit and receive filter impulse responses. A structured linear channel model is then developed that is linearly parametrized by an unknown vector. To illustrate the potential usefulness of such an approach, the estimated structured channel is used in a multisensor and oversampled maximum-likelihood sequence estimation (MLSE) receiver.
Keywords :
cellular radio; estimation theory; fading; filtering theory; maximum likelihood detection; maximum likelihood estimation; multipath channels; time division multiple access; MLSE receiver; TDMA; channel estimator; composite channel; impulse response; maximum-likelihood sequence detection; mobile radio; multipath fading channels; multisensor; receive filters; structured linear channel model; transmit filters; Antennas and propagation; Base stations; Communication standards; Equalizers; Filters; Maximum likelihood detection; Maximum likelihood estimation; Mobile antennas; Mobile communication; Time division multiple access;
Journal_Title :
Communications Letters, IEEE
DOI :
10.1109/4234.559362
