摘要
认知电子战要求使用更为智能的算法以适应日益复杂多变的电磁环境。针对参数存在变化的旋转调谐磁控管捷变频雷达的频率预测问题,以真实数据为依据,在剔除野值的基础上分析数据,提出了基于差分进化算法的频率预测方法。对比相关工作,所提算法提高了雷达频率预测精度,降低了对数据连贯性的前提要求,且能够通过在线分析适应调谐参数变化的频率规律,因此具有更强的应用价值和鲁棒性。
Cognitive electronic warfare requires smarter algorithms to adapt to the increasingly complex electromagnetic environment.As to the frequency prediction for frequency-agile radar with variational parameters,a frequency prediction method based on differential evolution algorithm is proposed according to the real data and the data analysis after eliminating the outliers.The proposed method can not only improve the prediction accuracy and reduce the demand for data consistency,but also be adaptable to the variation of frequency of the tuning parameters through online analysis,thus it has higher application value and robustness.
作者
姚家伦
黄高明
田威
YAO Jia-lun;HUANG Gao-ming;TIAN Wei(College of Electronic Engineering,Naval University of Engineering,Wuhan 430033,China)
出处
《电光与控制》
CSCD
北大核心
2019年第5期45-48,54,共5页
Electronics Optics & Control
基金
国家自然科学基金(61601491)
中国博士后科学基金(20 17M613370)
关键词
认知电子战
频率预测
旋转调谐磁控管
捷变频雷达
差分进化算法
cognitive electronic warfare
frequency prediction
rotary-tuned magnetron
frequency-agile radar
differential evolution algorithm
