基于IRT的大动态反射系数微动目标检测算法

doi:10.3969/j.issn.1001-506X.2020.09.08

Abstract

Abstract:

When there are micro-motion targets with large differences in the radar echo signals, the components of the weak reflection targets are often masked by the strong reflection targets and noise, which makes the weak reflection targets difficult to be detected. To solve the problem, a detection algorithm of large dynamic reflection coefficient micro-motion target is proposed. Firstly, the inverse Radon transform (IRT) algorithm is used to obtain the parameter estimation value of the strongest reflection components, and then the weak components are enhanced by removing the strong componens one by one, which makes the weak components easier to be detected. This algorithm applies to detect micro-motion targets with different reflection coefficients and has high precision of parameter estimation. The simulation experiments show that the validity of the algorithm. At the same time, the performance of the algorithm is analyzed.

Key words: micro-Doppler effect, inverse Radon transform (IRT), sinusoidal frequency modulation (SFM), time-frequency analyze, reflection coefficient, masking phenomenon

CLC Number:

TN957

Yang ZHOU, Daping BI, Aiguo SHEN. Micro-motion target detection algorithm of IRT based large dynamic reflection coefficient[J]. Systems Engineering and Electronics, 2020, 42(9): 1935-1944.

Figures/Tables 15

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References 26

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目标	参数	理论值	估计值
T1	f_a⁽¹⁾/Hz	1	1.01
	A_ω⁽¹⁾/Hz	100	99.26
	φ₀⁽¹⁾/(°)	120	120.1
	r₀⁽¹⁾/m	0.244	0.239
T2	f_a⁽²⁾/Hz	1.4	1.44
	A_ω⁽²⁾/Hz	60.4	60.1
	φ₀⁽²⁾/(°)	210	210.6
	r₀⁽²⁾/m	0.105	0.102
T3	f_a⁽³⁾/Hz	1.2	1.18
	A_ω⁽³⁾/Hz	77.2	78.45
	φ₀⁽³⁾/(°)	30	29.9
	r₀⁽³⁾/m	0.157	0.162
T4	f_a⁽⁴⁾/Hz	1	1.02
	A_ω⁽⁴⁾/Hz	90.7	89.29
	φ₀⁽⁴⁾/(°)	60	60.7
	r₀⁽⁴⁾/m	0.221	0.213

信号分量	SPWVD	获取每个α对应的M(α)	消去强分量	总时间
原始信号	1.68	2.03	0.41	4.12
第1次消去残留信号	1.53	2.27	0.46	4.26
第2次消去残留信号	1.46	1.97	0.39	3.82
第3次消去残留信号	1.42	1.98	0.43	3.83

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Micro-motion target detection algorithm of IRT based large dynamic reflection coefficient

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