DocumentCode :
1749464
Title :
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
Link To Document :
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