Information Content Based Optimal Radar Waveform Design: LPI’s Purpose
AbstractThis 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
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Chen, J.; Wang, F.; Zhou, J. Information Content Based Optimal Radar Waveform Design: LPI’s Purpose. Entropy 2017, 19, 210.
Chen J, Wang F, Zhou J. Information Content Based Optimal Radar Waveform Design: LPI’s Purpose. Entropy. 2017; 19(5):210.Chicago/Turabian Style
Chen, Jun; Wang, Fei; Zhou, Jianjiang. 2017. "Information Content Based Optimal Radar Waveform Design: LPI’s Purpose." Entropy 19, no. 5: 210.
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