摘要
文中介绍了基于人工智能算法的阵列雷达设计及参数,采用仿真方法分析了三台测波雷达不同布局时的误差,得出三台雷达的脚印为直角三角形时误差最小。然后,基于直角三角形布局给出了合成流场算法,并推导了海浪散射模型,由此分析距离和速度特征提取的方法。由于海浪散射信号较复杂,文中采用人工智能算法中的智能粒子群算法和聚类分析方法,提取海面特征参数。最后,给出了2021年5月在江苏兴化湾海上风电场中利用阵列雷达与浪笼测量数据的对比分析。对比结果表明阵列雷达能够满足实际使用要求。
The design and parameters of the array radar are proposed based on artificial intelligence algorithm,and the errors of three wave measuring radars with different layouts are analyzed by simulation methods,with the conclusion showing that the error is the least when the footprints of three radars are right triangles.Then,the synthetic flow field algorithm is given based on the right triangle layout and the wave scattering model is deduced from which the method of distance and velocity feature extraction is analyzed.Due to the complexity of ocean wave scattering signals,intelligent particle swarm algorithm and clustering analysis method in artificial intelligence algorithm are used to extract sea surface characteristic parameters.Finally,the comparative analysis of array radar and wave cage measurement data in Xinghua Bay offshore wind farm in Jiangsu province in May 2021 is given.The comparison results show that the array radar can meet the requirements of actual use.
作者
杜磊
李忱
尹光
林思夏
DU Lei;LI Chen;YIN Guang;LIN Sixia(Nanjing Research Institute of Electronics Technology,Nanjing 210039,China;Nanjing Well Max Electronics Technology Co.,Ltd.,Nanjing 211899,China)
出处
《现代雷达》
CSCD
北大核心
2022年第2期41-48,共8页
Modern Radar
关键词
阵列雷达
海浪监测
智能粒子群算法
聚类分析
array radar
wave monitoring
intelligent particle swarm algorithm
cluster analysis
