基于改进差分进化算法的GNSS无源多基地雷达海上目标定位方法  

Maritime moving target localization method based on improved differential evolution with GNSS-based passive multistatic radar

作　　者：何振宇[1] 毛亿 杨扬 陈武[2] HE Zhenyu;MAO Yi;YANG Yang;CHEN Wu(Key Laboratory of Maritime Intelligent Cyberspace Technology(Hohai University),Ministry of Education,Changzhou 213299,China;Department of Land Surveying and Geo-Informatics,The Hong Kong Polytechnic University,Hong Kong 999077,China)

机构地区：[1]河海大学海上智能网信技术教育部重点实验室,江苏常州213299 [2]香港理工大学土地测量及地理资讯学系,中国香港999077

出　　处：《通信学报》2025年第2期44-58,共15页Journal on Communications

基　　金：国家自然科学基金资助项目(No.524031511,No.42274051)。

摘　　要：利用全球导航卫星系统无源雷达多卫星的特点,提出一种基于改进差分进化算法的GNSS无源多基地雷达海上目标定位方法。首先,在多个双基地几何配置下,采用长时间积累技术在距离-多普勒域聚焦目标能量;然后,将聚焦的目标能量投影到笛卡儿平面进行联合检测和定位。为提高投影处理效率,提出一种改进差分进化算法,该算法采用优劣势双种群协同进化策略,能够兼顾算法的收敛性和种群多样性。仿真和现场实验结果表明,所提方法在定位和速度估计精度方面与现有算法相当,但计算耗时显著减少。A maritime moving target localization method based on improved differential evolution with GNSS-based passive multistatic radar was proposed by using the multi-satellite characteristics of global navigation satellite system based passive radar systems.First,the long integration technique was exploited by multiple bistatic geometry configurations to focus target energy in the rangee-Doppler domains,Then,the focused target energy was projected into the Cartesian plane for joint detection and localization.To enhance the efficiency of the projection processing,an improved differential evolution was put forward,which could ensure algorithm convergence and maintain population diversity by the coevolution strategy of superior and inferior populations.The simulated and real experimental results demonstrate that the proposed method can provide positioning and velocity estimation accuracies similar to the existing algorithm,but with a significantly decreased computational time.

关 键 词：全球导航卫星系统 无源雷达 长时间积累 投影处理 差分进化算法 

分 类 号：TN92[电子电信—通信与信息系统]