基于辐射能量缩减约束的双机雷达协同目标跟踪方法

doi:10.12305/j.issn.1001-506X.2021.10.19

系统工程与电子技术 ›› 2021, Vol. 43 ›› Issue (10): 2851-2859.doi: 10.12305/j.issn.1001-506X.2021.10.19

基于辐射能量缩减约束的双机雷达协同目标跟踪方法

孙萍¹, 汪飞^1,*, 窦山岳¹, 周建江¹, 陈军²

1. 南京航空航天大学雷达成像与微波光子教育部重点实验室, 江苏南京 211106
2. 南京信息工程大学电子与信息工程学院, 江苏南京 210044

收稿日期:2020-08-07 出版日期:2021-10-01 发布日期:2021-11-04
通讯作者: 汪飞
作者简介:孙萍(1997—), 女, 硕士研究生, 主要研究方向为飞机射频隐身技术与目标识别|汪飞(1976—), 男, 副教授, 博士, 主要研究方向为飞机射频隐身技术与微弱信号检测|窦山岳(1996—), 男, 硕士研究生, 主要研究方向为射频隐身|周建江(1962—), 男, 教授, 博士, 主要研究方向为机载电子信息系统与雷达目标识别|陈军(1988—), 男, 讲师, 博士, 主要研究方向为飞机射频隐身技术与目标跟踪
基金资助:
航空科学基金(2017ZC52036);国家自然科学基金(61801212);江苏省自然科学基金(BK20190772)

Dual airborne radar joint target tracking method based on constraint of radiant energy reduction

Ping SUN¹, Fei WANG^1,*, Shanyue DOU¹, Jianjiang ZHOU¹, Jun CHEN²

1. Key Laboratory of Radar Imaging and Microwave Photonics Ministry of Education, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China
2. School of Electronic & Information Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China

Received:2020-08-07 Online:2021-10-01 Published:2021-11-04
Contact: Fei WANG

摘要/Abstract

摘要：

辐射能量减缩是提高机载雷达射频隐身性能的有效途径。针对目标跟踪过程中辐射能量的减缩量约束, 首先通过分析双机雷达协同的目标回波信噪比, 分别从双机与目标距离比和目标雷达散射截面积推导了其对雷达总辐射能量减缩值的贡献; 然后针对雷达目标跟踪过程中的采样间隔算法, 分析了基于滤波残差的递推法与其他两种方法的目标跟踪精度与仿真计算效率; 最后利用交互式多模型卡尔曼滤波算法与基于滤波残差的递推采样间隔法仿真, 验证了目标跟踪过程中双机雷达辐射能量的减缩量, 并仿真了有源无源协同目标跟踪对双机雷达总辐射能量减缩值的贡献。实验结果表明，本文设计的跟踪策略具有更佳的隐身性能。

关键词: 机载雷达, 射频隐身, 目标跟踪, 辐射能量缩减

Abstract:

Radiant energy reduction is an efficient method to improve the radio frequency stealth performance of airborne radar. Aiming at the constraint of radiant energy reduction in target tracking. Firstly, by means of analyzing the target echo signal to noise ratio (SNR) of dual airborne radar system, the contribution to the total radar radiant energy is derived from the distance ratio between dual radar and the target and target radar cross section, respectively. Then, for the sampling interval algorithms in radar target tracking, the recursive method based on filter residual is pointed. And the tracking accuracy and computational efficiency of simulation are analyzed and compared to the other two algorithms. Finally, the reduction of radiant energy of dual radar is verified while tracking a target, using the interacting multiple mode Kalman filter (IMMKF) algorithm and the recursive method based on filter residual. And the simulation results prove the contribution to the total radar radiant energy reduction of dual radar, utilizing the active and passive joint target tracking system. Experiment results show that the target tracking strategy involved in this paper has better stealth performance frequency.

Key words: airborne radar, radio frequency (RF) stealth, target tracking, radiant energy reduction

中图分类号:

TN957.51

孙萍, 汪飞, 窦山岳, 周建江, 陈军. 基于辐射能量缩减约束的双机雷达协同目标跟踪方法[J]. 系统工程与电子技术, 2021, 43(10): 2851-2859.

Ping SUN, Fei WANG, Shanyue DOU, Jianjiang ZHOU, Jun CHEN. Dual airborne radar joint target tracking method based on constraint of radiant energy reduction[J]. Systems Engineering and Electronics, 2021, 43(10): 2851-2859.

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参考文献 29

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时间段/s	运动模式
0~30	匀速直线运动: (100, 100)m/s
31~200	顺时针转弯运动
201~370	逆时针转弯运动
371~400	匀速直线运动

雷达参数	参数值	无源参数	参数值
G_t/dB	34	G_r/dB	0
G_tr/dB	34	G_IP/dB	0
G_RP/dB	20	B_I/GHz	1
B_R/MHz	1	F_I/dB	5
λ/m	0.03	P_I/dBm	-65
P_R/dBm	-105	-	-
T_r/s	1×10^-3	-	-

算法	总辐射能量/J	ARMSE/m
采样间隔分级法	5.6×10⁴	x方向: 36.99
采样间隔分级法	5.6×10⁴	y方向: 42.72
基于滤波残差的递推法	5.1×10⁴	x方向: 37.62
基于滤波残差的递推法	5.1×10⁴	y方向: 43.40
PCRLB法	4.9×10⁴	x方向: 38.25
PCRLB法	4.9×10⁴	y方向: 43.25

对比算法	平均采样间隔/s	跟踪ARMSE/m	辐射总能量/J
单机算法	3.05	x方向: 37.62	5.1×10⁴
单机算法	3.05	y方向: 43.40	5.1×10⁴
双机协同	3.65	x方向: 28.07	0.98×10⁴
双机协同	3.65	y方向: 31.68	0.98×10⁴
Zandi算法	3.62	x方向: 27.91	0.98×10⁴
Zandi算法	3.62	y方向: 32.22	0.98×10⁴
佘算法	3.61	x方向: 28.01	1.05×10⁴
佘算法	3.61	y方向: 31.63	1.05×10⁴
本文策略	4.20	x方向: 26.54	0.88×10⁴
本文策略	4.20	y方向: 27.59	0.88×10⁴

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基于辐射能量缩减约束的双机雷达协同目标跟踪方法

Dual airborne radar joint target tracking method based on constraint of radiant energy reduction

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