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.

Palumbo, P., Germani, A., Manes, C. (2007). Simultaneous system identification and channel estimation: A hybrid system approach. In Proc. 46th IEEE Conference on Decision and Control (CDC07) (pp.1764-1769) [10.1109/CDC.2007.4435035].

Simultaneous system identification and channel estimation: A hybrid system approach

Palumbo, P;
2007

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.
paper
Digital communication systems; Markov processes; State estimate
English
IEEE Conference on Decision and Control (CDC07)
2007
Proc. 46th IEEE Conference on Decision and Control (CDC07)
978-1-4244-1497-0
2007
1764
1769
reserved
Palumbo, P., Germani, A., Manes, C. (2007). Simultaneous system identification and channel estimation: A hybrid system approach. In Proc. 46th IEEE Conference on Decision and Control (CDC07) (pp.1764-1769) [10.1109/CDC.2007.4435035].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/246634
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