Open AccessReconstruction of Target Fluctuation Characteristics Based on L_M Algorithm
Author(s) -
Junliang Liu,
Xiaokuan Zhang,
Binfeng Zong,
Shuyu Zheng
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1670/1/012021
Subject(s) - algorithm , radar , computer science , optimization algorithm , simple (philosophy) , field (mathematics) , mathematics , mathematical optimization , telecommunications , philosophy , epistemology , pure mathematics
High-precision are conducive to accurate analysis of radar detection performance. Therefore, building a highly accurate target RCS undulation characteristic library plays an important role in target detection and recognition field. Traditional RCS fluctuation models are not very accurate and can not describe target fluctuation characteristics at frequency zone. To solve this problem, a new method is proposed, which is based on the L_M (Levenberg-Marquardt) optimization algorithm to compress the target fluctuation characteristics. Firstly, RCS fluctuation characteristics of radar targets are obtained by calculating the full-angle RCS of the simple model. Then the L_M optimization algorithm is used to calculate the neuron parameters and perform experimental fitting. Finally, compared with traditional modeling and theoretical data, which can validate the superiority and effectiveness of the proposed method.