Blind Compensation of Linear Amplitude Distortions

The estimation and the compensation of particular amplitude distortions, typically affecting the consumer-grade receivers in broadband satellite communications, are considered. The distortion filter is modeled as a linear function of the frequency with unknown slope. We present a novel slope estimat...

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Bibliographic Details
Published in:IEEE transactions on broadcasting 2008-09, Vol.54 (3), p.448-453
Main Authors: Fertonani, D., Barbieri, A., Colavolpe, G., Delaruelle, D.
Format: Article
Language:English
Subjects:
Amplitude estimation
Amplitudes
Applied sciences
Blind compensation
Blinds
Broadband
Broadband communication
broadband satellite communications
channel estimation
Compensation
Detection, estimation, filtering, equalization, prediction
Distortion
Exact sciences and technology
Filtering
Frequency
Information, signal and communications theory
linear amplitude distortions
Locks
Mathematical models
Nonlinear filters
Robustness
Satellite communication
Satellite telecommunications. Space telecommunications
Signal analysis
Signal and communications theory
Signal to noise ratio
Signal, noise
Systems, networks and services of telecommunications
Telecommunications
Telecommunications and information theory
Transmission and modulation (techniques and equipments)
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Description
Summary:The estimation and the compensation of particular amplitude distortions, typically affecting the consumer-grade receivers in broadband satellite communications, are considered. The distortion filter is modeled as a linear function of the frequency with unknown slope. We present a novel slope estimator, analytically derived by exploiting the spectral properties of the distorted signal, which results to be unbiased and does not exhibit false locks in the scenarios of practical interest. Since an ideal slope compensator would require an unmanageable filtering, we focus on a low-complexity compensation filter that ensures nearly the same performance. Extensive simulation results prove the effectiveness and the robustness of the proposed solution, which can also work blindly at very low values of the signal-to-noise ratio.
ISSN:0018-9316
1557-9611
DOI:10.1109/TBC.2008.2000466