DocumentCode :
2832060
Title :
Simultaneous system identification and channel estimation: A hybrid system approach
Author :
Germani, Alfredo ; Manes, Costanzo ; Palumbo, Pasquale
Author_Institution :
Univ. degli Studi dell´´Aquila, L´´Aquila
fYear :
2007
fDate :
12-14 Dec. 2007
Firstpage :
1764
Lastpage :
1769
Abstract :
The problem of simultaneous estimation of both the transmitted signal and the impulse response samples in a digital communication channel is considered in this paper. In particular, the effective use of polynomial filtering techniques in such application is demonstrated. It is shown that a linear algorithm can not solve the problem, so that polynomial filters of higher order are necessary. The derivation of the polynomial estimator is based on a suitable representation of the signal-channel behavior as a hybrid system with Markov switching.
Keywords :
Markov processes; channel estimation; filtering theory; polynomial approximation; signal processing; transient response; Markov switching; channel estimation; digital communication channel; hybrid system approach; impulse response; linear algorithm; polynomial estimator; polynomial filtering techniques; polynomial filters; signal-channel behavior; simultaneous system identification; Additive white noise; Channel estimation; Councils; Digital communication; Filtering; Filters; Polynomials; Power system modeling; Stochastic resonance; System identification;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control, 2007 46th IEEE Conference on
Conference_Location :
New Orleans, LA
ISSN :
0191-2216
Print_ISBN :
978-1-4244-1497-0
Electronic_ISBN :
0191-2216
Type :
conf
DOI :
10.1109/CDC.2007.4435035
Filename :
4435035
Link To Document :
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