系统工程与电子技术 ›› 2024, Vol. 46 ›› Issue (7): 2446-2455.doi: 10.12305/j.issn.1001-506X.2024.07.26

• 制导、导航与控制 • 上一篇    

基于天线方向性参数辨识的航空器测向研究

袁伟力1, 汤新民2,*, 顾俊伟1   

  1. 1. 南京航空航天大学民航学院, 江苏 南京 210016
    2. 中国民航大学交通科学与工程学院, 天津 300300
  • 收稿日期:2023-07-24 出版日期:2024-06-28 发布日期:2024-07-02
  • 通讯作者: 汤新民
  • 作者简介:袁伟力 (1999—),男,硕士研究生,主要研究方向为空管设备研发、无人机监视
    汤新民 (1979—),男,教授,博士,主要研究方向为新一代空中交通管制自动化系统、无人机运行服务与交通管理系统
    顾俊伟 (1991—),男,博士研究生,主要研究方向为先进场面活动引导与控制系统
  • 基金资助:
    国家自然科学基金(52072174)

Research on aircraft direction finding based on antenna directionality parameter identification

Weili YUAN1, Xinmin TANG2,*, Junwei GU1   

  1. 1. College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
    2. College of Transportation Science and Engineering, Civil Aviation University of China, Tianjin 300300, China
  • Received:2023-07-24 Online:2024-06-28 Published:2024-07-02
  • Contact: Xinmin TANG

摘要:

雷达测向是航空器必不可少的合作型监视手段, 其中测向天线的方向性参数决定了测向的精度。基于传统相邻比幅测向原理及比幅测向误差, 提出修正比幅测向模型。基于修正比幅测向模型, 确定需要辨识的天线方向性参数, 提出一种误差修正遗传模拟退火(error correction genetic simulated annealing, COR-GSA)算法对未知定向天线方向性参数进行辨识。利用自主设计的测向双通路接收机开展辨识实验, 并用1 000组航空器真实方位数据进行验证, 结果表明采用COR-GSA算法辨识天线方向性参数的测向精度最高。最后, 利用辨识后的天线方向性参数对航空器进行方位跟踪, 跟踪误差较未进行方位修正的跟踪误差降低了18.3%。

关键词: 航空器测向, 天线参数辨识, 修正比幅测向, 方位跟踪

Abstract:

Radar direction finding is an essential cooperative monitoring method for aircraft, and the directional parameters of the direction finding antenna determine the accuracy of direction finding. A modified amplitude comparison direction finding model is proposed based on the traditional principle of adjacent amplitude comparison direction finding and the error of amplitude comparison direction finding. Based on the correction of amplitude comparison direction finding model, an error correction genetic simulated annealing (COR-GSA) algorithm is proposed to identify unknown directional antenna directionality parameters by determining the antenna directionality parameters that need to be identified. Identification experiments are conducted using a self-designed dual channel direction finding receiver, and 1 000 sets of aircraft real azimuth data are used for verification. The results show that using the COR-GSA algorithm to identify antenna directional parameters has the highest direction finding accuracy. Finally, the identified antenna directionality parameters are used to track the aircraft's azimuth, and the tracking error is reduced by 18.3% compared to the tracking error without azimuth correction.

Key words: aircraft direction finding, antenna parameter identification, correction of amplitude comparison direction finding, azimuth tracking

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