Interacting multiple models for single-user channel estimation and equalization

Author

Jaward, Mohamed Hisham ; Kadirkamanathan, K.

Author_Institution

Dept. of Autom. Control & Syst. Eng., Univ. of Sheffield, UK

Volume

4

fYear

2001

fDate

2001

Firstpage

2101

Abstract

A blind sequence estimation algorithm based on an interacting multiple model (IMM) is introduced to estimate the channel and the transmitted sequence corrupted by ISI (intersymbol interference) and noise. The proposed algorithm avoids the exponential growth complexity caused by increasing channel memory length. The performance of the IMM based equalizer is studied and compared with a well known algorithm, DDFSE (delayed decision-feedback sequence estimation)

Keywords

blind equalisers; intersymbol interference; random noise; signal detection; state estimation; telecommunication channels; ISI; blind sequence estimation algorithm; channel memory length; delayed decision-feedback sequence estimation; digital data detection; interacting multiple models; intersymbol interference; single-user channel equalization; single-user channel estimation; state estimation; Channel estimation; Delay estimation; Equalizers; Error analysis; Finite impulse response filter; Hidden Markov models; Intersymbol interference; Maximum likelihood estimation; State estimation; Viterbi algorithm;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 2001. Proceedings. (ICASSP '01). 2001 IEEE International Conference on

Conference_Location

Salt Lake City, UT

ISSN

1520-6149

Print_ISBN

0-7803-7041-4

Type

conf

DOI

10.1109/ICASSP.2001.940407

Filename

940407