2012Unpublished venueRequires access

Information Theory-Based Amendments of SAR Jamming Effect Evaluation

Xin Li, Jina Zhen

Open publisher page 4 citations

Abstract

Synthetic Aperture Radar (SAR) jamming effect is an important indicator to measure jamming pattern and jammer performance. The scientific and accurate evaluation of SAR jamming effect is an important basis for selecting effective jamming model and for improving the jamming system efficacy. In order to solve this, we deduce new expression of mutual information in terms of probability distribution diversity. We relate the information with entropy such as condition entropy and joint entropy, thus we develop a SAR jamming evaluation model of high effectiveness. Simulation experiments of this proposed model using Radarsat-1 real data for different scenarios demonstrate the success of the model effectiveness and applicability.

About this research paper

What this paper is about

Synthetic Aperture Radar (SAR) jamming effect is an important indicator to measure jamming pattern and jammer performance. The scientific and accurate evaluation of SAR jamming effect is an important basis for selecting effective jamming model and for improving the jamming system efficacy. In order to solve this, we deduce new expression of mutual information in terms of probability distribution diversity. We relate the information with entropy such as condition entropy and joint entropy, thus we develop a SAR jamming evaluation model of high effectiveness. Simulation experiments of this proposed model using Radarsat-1 real data for different scenarios demonstrate the success of the model effectiveness and applicability.

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OpenAlex reports 4 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Synthetic Aperture Radar (SAR) jamming effect is an important indicator to measure jamming pattern and jammer performance. The scientific and accurate evaluation of SAR jamming effect is an important basis for selecting effective jamming model and for improving the jamming system efficacy. In order to solve this, we deduce new expression of mutual information in terms of probability distribution diversity. We relate the information with entropy such as condition entropy and joint entropy, thus we develop a SAR jamming evaluation model of high effectiveness. Simulation experiments of this proposed model using Radarsat-1 real data for different scenarios demonstrate the success of the model effectiveness and applicability.

Key concepts: Jamming, Synthetic aperture radar, Computer science, Entropy (arrow of time), Mutual information, Inverse synthetic aperture radar, Radar, Data mining

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