Detection method of forward-scatter signal based on Rényi entropy

doi:10.23919/JSEE.2023.000122

Journal of Systems Engineering and Electronics ›› 2024, Vol. 35 ›› Issue (4): 865-873.doi: 10.23919/JSEE.2023.000122

• DEFENCE ELECTRONICS TECHNOLOGY • Previous Articles

Detection method of forward-scatter signal based on Rényi entropy

Yuqing ZHENG(), Xiaofeng AI(), Yong YANG(), Feng ZHAO(), Shunping XIAO()

State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System, National University of Defense Technology, Changsha 410073, China

Received:2022-12-25 Online:2024-08-18 Published:2024-08-06
Contact: Xiaofeng AI E-mail:zhengyuqing@nudt.edu.cn;anxifu2001@163.com;youngt_fvc@163.com;zhfbee@tom.com;xiaoshunping_nudt@163.com
About author:
ZHENG Yuqing was born in 1998. She received her M.S. degree from National University of Defense Technology in 2022. Her research interests include radar target location. E-mail: zhengyuqing@nudt.edu.cn

AI Xiaofeng was born in 1983. He received his B.S. and Ph.D. degrees from National University of Defense Technology (NUDT) in 2005 and 2013, respectively. He is currently a lecturer with NUDT. His research interests include radar imaging and feature extraction E-mail: anxifu2001@163.com

YANG Yong was born in 1985. He received his B.S. and Ph.D. degrees from National University of Defense Technology (NUDT). He is currently an associate professor with NUDT. His research interests include polarization radar target detection and anti-jamming. E-mail: youngt_fvc@163.com

ZHAO Feng was born in 1978. He received his B.S. and Ph.D. degrees from National University of Defense Technology (NUDT) in 2001 and 2007, respectively. He is currently a professor with NUDT. His research interests include radar system design. E-mail: zhfbee@tom.com

XIAO Shunping was born in 1964. He received his B.S. and Ph.D. degrees from National University of Defense Technology (NUDT) in 1986 and 1995, respectively. He is currently a professor with NUDT. His research interests include radar target recognition and radar signal processing. E-mail: xiaoshunping_nudt@163.com
Supported by:
This work was supported by the National Natural Science Foundation of China (62071475; 61890541; 62171447).

Abstract

Abstract:

The application scope of the forward scatter radar (FSR) based on the Global Navigation Satellite System (GNSS) can be expanded by improving the detection capability. Firstly, the forward-scatter signal model when the target crosses the baseline is constructed. Then, the detection method of the forward-scatter signal based on the Rényi entropy of time-frequency distribution is proposed and the detection performance with different time-frequency distributions is compared. Simulation results show that the method based on the smooth pseudo Wigner-Ville distribution (SPWVD) can achieve the best performance. Next, combined with the geometry of FSR, the influence on detection performance of the relative distance between the target and the baseline is analyzed. Finally, the proposed method is validated by the anechoic chamber measurements and the results show that the detection ability has a 10 dB improvement compared with the common constant false alarm rate (CFAR) detection.

Key words: forward scatter radar (FSR), Global Navigation Satellite System (GNSS), time-frequency distribution, Rényi entropy, signal detection

Yuqing ZHENG, Xiaofeng AI, Yong YANG, Feng ZHAO, Shunping XIAO. Detection method of forward-scatter signal based on Rényi entropy[J]. Journal of Systems Engineering and Electronics, 2024, 35(4): 865-873.

Figures/Tables 15

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Parameter	Symbol	Value
Omnidirectional radiation power/dBw	P_E	30
Receiving antenna gain/dB	G_R	10
Carrier frequency/MHz	f₀	1268.52
Baseline length/km	R_D	21528
Target scattered phase/rad	φ_σ	3π/2
Rectangle target length/m	l	20
Rectangle target width/m	h	13
The distance between the target crossing point and the receiver/m	d_R	8000
The angle between the target motion direction and baseline/rad	θ_t	π/2
Target velocity/(m·s⁻¹)	v	250
The minimum distance between the target trajectory and the baseline/m	z_p	0
Signal sampling frequency/Hz	f_s	100
False alarm probability	P_f	10⁻⁶

Parameter	Value
Target size(l×h)/cm²	13×13
Target height H/m	1.21−1.46
Height of transmitting antenna H_T/m	1.21
Height of receiving antenna H_R/m	1.21
Polarization	HH
Frequency/GHz	10
Testing time/s	23.7
θ_t/(°)	90
d_T/m	1.16
v/(m·s⁻¹)	0.14
R_D/m	2.36

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Detection method of forward-scatter signal based on Rényi entropy

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