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Blind identification and equalization of two-channel FIR systems in unbalanced noise environments
- Source :
- Signal Processing. 85:215-225
- Publication Year :
- 2005
- Publisher :
- Elsevier BV, 2005.
-
Abstract
- Blind identification is a very significant problem in many contexts where only the output of transmission channels can be observed. The solutions that can be found in the literature are limited to the case of equal amounts of additive noise on the observations; this paper proposes new identification procedures that can be applied to the case of two FIR channels affected by unknown and unbalanced amounts of additive noise. The identified models are then used for the minimal variance deconvolution of the unknown input signal. Several Monte Carlo simulations confirm the good performance of these procedures also in severe SNR conditions.
- Subjects :
- Engineering
business.industry
Monte Carlo method
System identification
Equalization (audio)
LINEAR SYSTEMS
Background noise
BLIND IDENTIFICATION
Noise
Identification (information)
FIR SYSTEMS
Control and Systems Engineering
BLIND EQUALIZATION
Signal Processing
Electronic engineering
Computer Vision and Pattern Recognition
Deconvolution
Electrical and Electronic Engineering
business
Algorithm
Software
Blind equalization
Subjects
Details
- ISSN :
- 01651684
- Volume :
- 85
- Database :
- OpenAIRE
- Journal :
- Signal Processing
- Accession number :
- edsair.doi.dedup.....9a26ebb1d22c35f51b3fd28e3217cd1f