| Citation: | YANG Chengxiu, WANG Qianzhe, PENG Weidong, et al. Radar LPI performance evaluation method for waveform domain based on IFA-HFS[J]. Journal of Beijing University of Aeronautics and Astronautics, 2020, 46(8): 1574-1581. doi: 10.13700/j.bh.1001-5965.2019.0507(in Chinese)
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In order to solve the problem of Low Probability of Interception (LPI) performance evaluation of radar waveform domain, a Hesitant Fuzzy Set (HFS) evaluation method based on Improved Firefly Algorithm (IFA) is proposed to obtain index weight. Firstly, we introduce the HFS theory based on Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS), and construct an optimization model of index weights from the perspectives of attribute and scheme. Secondly, we solve the problem that firefly algorithm is easy to fall into local optimum by introducing chaos theory, and give the process to get index weights by using IFA. Then, we extract five LPI performance evaluation indicators between inter-pulse and intra-pulse information from the radar transmitter. Finally, the HFS evaluation method based on IFA is obtained to get optimal index weights. Four different types of radar are selected to simulate and compare the waveform domain LPI performance, and the ranking results are obtained, which verify the rapidity and effectiveness of the proposed algorithm.
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