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). Institute of Electrical and Electronics Engineers Inc. [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.
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