Long time hybrid integration of radar rotating target

doi:10.23919/JSEE.2024.000123

Abstract

Abstract:

In the traditional radar unmanned aerial vehicle (UAV) detection process, coherent integration and micro-Doppler (m-D) parameter estimation are carried out separately. The target discrimination process needs to obtain the position information of the target, which will lose energy. In this paper, a long time integration method of radar signal based on rotating target radon Fourier transform (RTRFT) is proposed. This method modifies the distance and frequency terms in the traditional generalized radon Fourier transform (GRFT), and adds the frequency sinusoidal modulation term. Then, based on the cardinality balanced multi-target multi-Bernoulli (CBMeMBer) filter, the position of the target is detected in the high-dimensional space obtained by RTRFT. This method can combine coherent integration and micro-motion parameter estimation. Simulation experiments show that the proposed method can estimate the main translational parameters and rotational micro-motion parameters of the target while detecting the target, and the target detection performance is improved.

Key words: long time coherent integration (LTCI), cardinality balanced multi-agent multi-Bernoulli filter, signal detection, unmanned aerial vehicle (UAV), generalized radon Fourier transform (GRFT)

Zhiyong SONG, Yuntao XU. Long time hybrid integration of radar rotating target[J]. Journal of Systems Engineering and Electronics, 2025, 36(6): 1477-1487.

Figures/Tables 14

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Parameter	Value
Carrier frequency/GHz	${f_c} = 5$
Pulse repetition frequency/kHz	${f_p} = 12$
Coherent accumulation pulse number	$ {N_p} = 512 $
Coherent accumulation time/s	${T_{{\text{CPI}}}} = 0.042\;7$
In-pulse sampling frequency/MHz	${f_s} = 6.144$
Transmit waveform width/ms	$\tau = 0.813\;8$
Equivalent noise temperature/K	$T = 290$

Parameter	Value
Initial position/m	$ {r_0} = 8\;700 $
Initial relative velocity/(m/s)	${v_0} = 30$
Relative acceleration/(m/s²)	$a = 10$
Radar line-of-sight angle/rad	$\beta = 0$
Number of leaves	$B = 1$
Rotation speed/Hz	${f_r} = 8$
Leaf length/m	$d = 0.6$

Number of blades	Detection sensitivity/dB	Calculation time/s
0	−12	0.937 0
1	−16	1.990 8
2	−18	2.904 4
4	−19	4.502 1

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