Enhanced LPI Waveform Representation by Ambiguity-Domain Elliptical Gaussian Filtering

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Authors
Gulum, Taylan O.
Erdogan, Yasin A.
Durak Ata, Lutfiye
Yildirim, Tulay
Pace, Phillip E.
Subjects
Advisors
Date of Issue
2017-04
Date
Publisher
IEEE
Language
Abstract
ESM systems need to use sophisticated signal processing, such as time-frequency representation techniques, for the interception of nonstationary LPI radar signals. In this study, an adaptive filtering technique using an ambiguity-domain elliptical Gaussian kernel is proposed to increase the readability of pseudo-Wigner-Ville distribution based representations for LPI waveform parameter extraction purposes. The complexity and information content of the outputs obtained by the proposed method are evaluated by objective criteria, such as ratio of norms, Rényi entropy, and Jubisa measure. The results quantify efficient filtering performance under severe SNR conditions with lower computational complexity.
Type
Article
Description
The article of record as published may be found at http://dx.doi.org/10.1109/TAES.2017.2665078
Series/Report No
Department
Electrical and Computer Engineering (ECE)
Organization
Naval Postgraduate School (U.S.)
Identifiers
NPS Report Number
Sponsors
Scientific and Technological Research Council of Turkey
Funder
Scientific and Technological Research Council of Turkey, TUBITAK under the Project 113E117
Format
16 p.
Citation
Gulum, Taylan O., et al. "Enhanced LPI waveform representation by ambiguity-domain elliptical Gaussian filtering." IEEE Transactions on Aerospace and Electronic Systems 53.2 (2017): 762-777.
Distribution Statement
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.
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