基于天线方向性参数辨识的航空器测向研究

doi:10.12305/j.issn.1001-506X.2024.07.26

摘要/Abstract

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

中图分类号:

V355

袁伟力, 汤新民, 顾俊伟. 基于天线方向性参数辨识的航空器测向研究[J]. 系统工程与电子技术, 2024, 46(7): 2446-2455.

Weili YUAN, Xinmin TANG, Junwei GU. Research on aircraft direction finding based on antenna directionality parameter identification[J]. Systems Engineering and Electronics, 2024, 46(7): 2446-2455.

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算法	k₂₁	θ_r/rad	损失最小值/(°)
GA	0.946 2	81.812 5	38.790 4
SA	0.898 8	83.357 8	39.489 5
GSA	0.947 6	81.366 2	38.746 0

k₂₁	θ_r/rad	γ₁/dB	γ₂/dB	损失最小值/(°)
0.926 7	78.207 6	10.721 3	12.145 9	35.235 6

参数	ICAO地址
参数	7810b8	781400	780ee4	780101
平均误差	2.213 4	3.682 3	4.032 1	3.247 4
最大误差	4.036 8	6.903 9	7.322 4	5.200 3

参数	ICAO地址
参数	7810b8	781400	780ee4	780101
平均误差	2.037 6	3.098 2	3.172 4	2.598 2
最大误差	3.201 2	4.274 6	4.574 3	3.589 1

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