系统工程与电子技术 ›› 2020, Vol. 42 ›› Issue (3): 521-527.doi: 10.3969/j.issn.1001-506X.2020.03.003

• 电子技术 • 上一篇    下一篇

大气折射对高程约束下时差定位误差的影响及修正

张书强(), 郭福成(), 张敏(), 李曦()   

  1. 国防科技大学电子科学学院, 湖南 长沙 410073
  • 收稿日期:2019-04-26 出版日期:2020-03-01 发布日期:2020-02-28
  • 作者简介:张书强 (1988-),男,硕士,主要研究方向为无源定位、信号处理技术。E-mail:zsq391221@163.com|郭福成 (1975-),男,教授,博士,主要研究方向为无源定位、信号处理技术。E-mail: gfcly@21cn.com|张敏(1984-),男,博士,主要研究方向为无源定位技术、信号处理技术。E-mail:zhangmin1984@126.com|李曦 (1991-),男,博士研究生,主要研究方向为无源定位技术、信号处理技术。E-mail:lx_njgc@163.com
  • 基金资助:
    国家自然科学基金(61771477);国防科技项目基金(3101140);装备预研基金(9140A21040115KG01001)

Influence analysis of atmospheric refraction on elevation-constrained TDOA source localization error and its correction

Shuqiang ZHANG(), Fucheng GUO(), Min ZHANG(), Xi LI()   

  1. College of Electronic science and Technology, National University of Defense Technology, Changsha 410073, China
  • Received:2019-04-26 Online:2020-03-01 Published:2020-02-28
  • Supported by:
    国家自然科学基金(61771477);国防科技项目基金(3101140);装备预研基金(9140A21040115KG01001)

摘要:

电波在不均匀大气中传播会发生折射现象,传播路径和速度都会发生改变,若不考虑其影响,将导致利用测量多站到达时间差进行辐射源定位产生较大误差。本文分析了已知先验高程约束条件下大气折射对多站时差定位误差的影响,论证了迭代修正法在高程约束条件下(约束条件为冗余条件)无法达到最优,提出了大气折射条件下基于迭代然后再进行改进粒子群优化的时差定位误差修正算法,通过仿真分析验证了该修正算法的有效性。

关键词: 高程约束, 大气折射, 误差, 迭代, 粒子群优化

Abstract:

Due to the inhomogeneity of the atmosphere, radio waves are subjected to refraction during the propagation process, which reduces its propagation speed and bends the propagation path. If this refraction effect is not taken into account when the source is localized through conventional multi-station time difference of arrival (TDOA)-based methods, a large localization error will occur. In this paper, the influence of atmospheric refraction on the TDOA localization error under the known elevation constraint is analyzed. It is proved that the iterative correction method cannot achieve the optimum under this elevation constraint (the constraint conditions are redundancy conditions). Consequently, a new atmospheric refraction correction method is proposed where iterative methods are applied to obtain initial solutions, which are further refined by improved particle swarm optimization (PSO) methods. The effectiveness of the proposed method is validated through simulation results and analyses.

Key words: elevation constraint, atmospheric refraction, error, iteration, particle swarm optimization (PSO)

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