Fuzzy Logic and Singular Value Decomposition based Through Wall Image Enhancement

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Date
2012-06
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Mark
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Společnost pro radioelektronické inženýrství
Abstract
Singular value decomposition based through wall image enhancement is proposed which is capable of discriminating target, noise and clutter signals. The overlapping boundaries of clutter, noise and target signals are separated using fuzzy logic. Fuzzy inference engine is used to assign weights to different spectral components. K-means clustering is used for suitable selection of fuzzy parameters. Proposed scheme significantly works well for extracting multiple targets in heavy cluttered through wall images. Simulation results are compared on the basis of mean square error, peak signal to noise ratio and visual inspection.
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Citation
Radioengineering. 2012, vol. 21, č. 2, s. 580-589. ISSN 1210-2512
http://www.radioeng.cz/fulltexts/2012/12_02_0580_0589.pdf
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Peer-reviewed
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en
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Creative Commons Attribution 3.0 Unported License
http://creativecommons.org/licenses/by/3.0/
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