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Entropy 2017, 19(5), 210;

Information Content Based Optimal Radar Waveform Design: LPI’s Purpose

Key Laboratory of Radar Imaging and Microwave Photonics (Ministry of Education), Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
Author to whom correspondence should be addressed.
Academic Editor: Raúl Alcaraz Martínez
Received: 26 March 2017 / Revised: 30 April 2017 / Accepted: 3 May 2017 / Published: 6 May 2017
(This article belongs to the Section Information Theory)
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This paper presents a low probability of interception (LPI) radar waveform design method with a fixed average power constraint based on information theory. The Kullback–Leibler divergence (KLD) between the intercept signal and background noise is presented as a practical metric to evaluate the performance of the adversary intercept receiver in this paper. Through combining it with the radar performance metric, that is, the mutual information (MI), a multi-objective optimization model of LPI waveform design is developed. It is a trade-off between the performance of radar and enemy intercept receiver. After being transformed into a single-objective optimization problem, it can be solved by using an interior point method and a sequential quadratic programming (SQP) method. Simulation results verify the correctness and effectiveness of the proposed LPI radar waveform design method. View Full-Text
Keywords: LPI; radar waveform design; KLD; MI LPI; radar waveform design; KLD; MI

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Chen, J.; Wang, F.; Zhou, J. Information Content Based Optimal Radar Waveform Design: LPI’s Purpose. Entropy 2017, 19, 210.

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