A structured channel estimator for maximum likelihood sequence detection in multipath fading channels

Author

Ng, Boon Chong ; Cedervall, Mats ; Paulraj, Arogyaswami

Author_Institution

DSO Nat. Labs., Singapore

Volume

48

Issue

4

fYear

1999

fDate

7/1/1999 12:00:00 AM

Firstpage

1216

Lastpage

1228

Abstract

This paper describes a channel estimator using known prior information about the transmit and receive filters, it is shown that the composite channel lies in a certain subspace obtained from the impulse responses of these filters. A structured linear channel model is then developed that is linearly parameterized 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. We also present expressions on the pairwise error probability for the MLSE receiver based on the structured channel model. Using these results, we investigate the phenomenon of error flooring

Keywords

error statistics; estimation theory; fading channels; land mobile radio; maximum likelihood detection; maximum likelihood sequence estimation; multipath channels; radio receivers; MLSE receiver; composite channel; error flooring; estimated structured channel; impulse responses; known prior information; maximum likelihood sequence detection; maximum likelihood sequence estimation; multipath fading channels; pairwise error probability; receive filter; structured channel estimator; structured linear channel; subspace; transmit filters; Communication standards; Fading; Information filtering; Information filters; Maximum likelihood detection; Maximum likelihood estimation; Mobile communication; Robustness; Time division multiple access; Vectors;

fLanguage

English

Journal_Title

Vehicular Technology, IEEE Transactions on

Publisher

ieee

ISSN

0018-9545

Type

jour

DOI

10.1109/25.775370

Filename

775370