电波科学学报2023，Vol.38Issue(6)：1096-1104,9.DOI:10.12265/j.cjors.2022254
基于遗传算法优化的短波时差定位算法
High frequency TDOA geolocation method based on genetic algorithm optimization
李蕊 1邓亭强 2窦修全1
作者信息
- 1. 中国电子科技集团公司第五十四研究所,石家庄 050081||河北省电磁频谱认知与管控重点实验室,石家庄 050081
- 2. 中国电子科技集团公司第五十四研究所,石家庄 050081
- 折叠
摘要
Abstract
As a network hub and active relay do not restrict remote communication,the high frequency(HF)communication system has received extensive attention in military confrontation and civil spectrum monitoring.As we all know,high frequency long-distance transmission is realized by ionospheric reflection and a typical non-line-of-sight(NLoS)transmission mode.In addition,as an important part of the electronic countermeasure,passive location has always been a research hotspot.Therefore,how to achieve effective geolocation in the NLoS scene is an urgent problem to be solved in the shortwave communication system.In this paper,a new high frequency time difference of arrival(TDOA)location algorithm is proposed.The algorithm is divided into three parts:TDOA extraction,coarse location and precise location.Without ionospheric parameter information,precise location can be achieved.In order to prove the effectiveness of the method,the simulation results and field results are presented in the paper.The results show that the proposed algorithm is simple and practical,and its accuracy is better than 3％.The proposed algorithm provides a new idea and direction for the development of high frequency geolocation.关键词
短波定位/超视距/时差/电离层/联合优化Key words
HF geolocation/non-line-of-sight(NLoS)/time difference of arrival(TDOA)/ionosphere/joint optimization分类
信息技术与安全科学引用本文复制引用
李蕊,邓亭强,窦修全..基于遗传算法优化的短波时差定位算法[J].电波科学学报,2023,38(6):1096-1104,9.
