空间电子技术2026，Vol.23Issue(4)：179-188,10.DOI:10.3969/j.issn.1674-7135.2026.04.015
基于粒子群优化策略的海洋环境参数反演研究
Research on the ocean environmental parameter inversion based on improved particle swarm optimization algorithm
黄猛 1王玉菊 1窦松然 2黎佳艺 1董春雷3
作者信息
- 1. 中国人民解放军 91977 部队,北京 102249
- 2. 船舶信息研究中心,北京 100012
- 3. 西安电子科技大学,西安 710071
- 折叠
摘要
Abstract
This study integrates three-dimensional(3D)sea surface electromagnetic scattering modeling with machine learning algorithms to propose an ocean environmental parameter inversion model based on a particle swarm optimization(PSO)strategy.In this model,the electromagnetic scattering effects of multi-scale sea waves are considered by employing the semi-deterministic facet method to establish a 3D sea surface electromagnetic scattering model.Within this framework,structural enhancements are applied to the conventional particle swarm algorithm,and the improved particle swarm optimization strategy is employed to adaptively search the key parameters of the support vector machine(SVM).This enables the construction of an effective inversion model to retrieve ocean environmental parameters,such as the near-surface wind speed and seawater dielectric constant.Meanwhile,to assess the robustness of the proposed inversion model under noisy conditions,Gaussian white noise is superimposed onto the input samples,and a series of comparative experiments are conducted.The experimental results demonstrate that the proposed method achieves reliable inversion performance and exhibits considerable potential for applications in marine remote sensing.关键词
海面电磁散射建模/机器学习/粒子群优化策略/支持向量机方法/海洋环境反演模型Key words
sea surface electromagnetic scattering modeling/machine learning/particle swarm optimization strategy/SVM method/ocean environmental parameter inversion model分类
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黄猛,王玉菊,窦松然,黎佳艺,董春雷..基于粒子群优化策略的海洋环境参数反演研究[J].空间电子技术,2026,23(4):179-188,10.
