密集虚假运动目标生成方法

doi:10.12305/j.issn.1001-506X.2022.05.10

Abstract

Abstract:

The traditional synthetic aperture radar ground moving target indication (SAR-GMTI) deceptive jamming method based on dual synthetic jammers can generate very similar false moving targets. However, when the method is used to create a large number of false moving targets, the computational burden is very high, which does not meet the need for real-time jamming in electronic warfare. Therefore, we propose an algorithm for fast generation of dense false moving targets. This proposed method is based on the theory of dual jammers generating false stationary targets against dual-channel SAR-GMTI. By adding complex coefficient modulation to each jammer, the false targets can be detected as moving ones. In addition, by using an algorithm of SAR large scenes deception jamming, the computational burden is reduced when the jammer creates dense false moving targets which makes the proposed method applicable to engineering. Simulation experiments verify the effectiveness of the proposed method.

Key words: synthetic aperture radar (SAR), ground moving target indication (GMTI), false moving target, dual synergetic jammer, deceptive jamming

CLC Number:

TN95

Penghui JI, Dahai DAI, Shiqi XING, Dejun FENG. Dense false moving targets generation method[J]. Systems Engineering and Electronics, 2022, 44(5): 1502-1511.

Figures/Tables 15

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References 30

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参数	数值
载频/GHz	10
调频带宽/MHz	70
平台速度/(m/s)	250
采样频率/MHz	100
脉冲重频/Hz	1 000
成像中心斜距/m	10 000
基线长度/m	4

目标	初始位置	v_r(m/s)
p₁	(60, R₀+30)	0
p₂	(60, R₀-30)	0
p₃	(-20, R₀+50)	0.6
p₄	(-20, R₀-50)	0.6

干扰方法	目标	径向速度		方位位置
干扰方法	目标	估计$ \hat v $_r/(m/s)	误差/(m/s)	估计$ \hat x $/m	位置偏移(-R₀$ \hat v $_r/V_a)/m	重定位/m	误差/m
单干扰机	p₁	-0.024 9	-0.024 9	60	1	59	-1
	p₂	-1.525	-1.525 0	60	61	-1	-61
	p₃	0.574 8	-0.025 2	-44	-23	-21	-1
	p₄	1.075	0.475	-44.1	-43	1.1	21.1
双干扰机	p₁	-0.024 9	-0.024 9	60	1	59	-1
	p₂	0.013 2	0.013 2	60.3	-0.5	60.8	0.8
	p₃	0.574 8	-0.025 2	-44	-23	-21	-1
	p₄	0.623 6	0.023 6	-44.3	-25	-19.3	0.7

目标	初始坐标	v_r/(m/s)	映射坐标
p₁	(20, R₀+30)	-0.7	(48, R₀+30)
p₂	(50, R₀+60)	0.4	(34, R₀+60)
p₃	(40, R₀-40)	-0.6	(64, R₀-40)
p₄	(10, R₀-20)	-0.8	(42, R₀-20)
p₅	(-10, R₀-20)	0.6	(-34, R₀-20)
p₆	(40, R₀-40)	0.5	(-60, R₀-40)
p₇	(-50, R₀+60)	-0.5	(-30, R₀+60)
p₈	(-20, R₀+30)	0.7	(-48, R₀+30)

虚假目标	径向速度		方位位置
虚假目标	估计$ \hat v $_r/(m/s)	误差/(m/s)	估计$ \hat x $/m	位置偏移(-R₀$ \hat v $_r/V_a)/m	重定位/m	误差/m
p₁	-0.626 7	-0.073 3	47.7	25.1	22.6	2.6
p₂	0.416 1	0.016 1	33.7	-16.6	50.3	0.3
p₃	-0.580 9	0.019 1	63.7	23.2	40.5	0.5
p₄	-0.828 0	-0.028 0	41.9	33.1	8.8	-1.2
p₅	0.563 5	-0.036 5	-33.5	-21.5	-12	-2
p₆	0.494 2	0.005 8	-59.8	-19.8	40	0
p₇	-0.477 9	-0.022 1	-30.1	19.1	-49.2	-0.8
p₈	0.680 2	0.019 8	-48.0	-27.2	-20.8	-0.8

Dense false moving targets generation method

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方法	目标个数
方法	8个	16个	32个
文献[14]方法	1.63	2.43	4.29
本文方法	0.53	0.61	0.66

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