摘要
杂波是雷达信号检测和处理的固有环境,利用神经网络研究雷达杂波与真实目标分类问题。首先依据工程经验,给出雷达点迹多维特征指标,搭建神经网络。根据本文应用场景,定义模型效果评估指标,优化经典损失函数,最后给出训练结果。
Clutter is the inherent environment of radar signal detection and processing.In this paper,the neural network is used to study the classification of radar clutter and real target.First,according to the engineering experience,the multi-dimensional feature indexes of radar plots are given,and the neural network is built.According to the application scenarios in this paper,the effect evaluation indexes of the training model are defined,and the classical loss function is optimized.Finally,the training results are given.
作者
张岩
张晓东
ZHANG Yan;ZHANG Xiaodong(Naval Equipment Military Representative Office Based in Yangzhou,Yangzhou 225001,China;The 723 Institute of CSSC,Yangzhou 225101,China)
出处
《舰船电子对抗》
2023年第5期80-83,共4页
Shipboard Electronic Countermeasure
关键词
神经网络
点迹特征
真伪
损失函数
neural network
plot feature
true and false
loss function
