A target parameter estimation method via atom-reconstruction in radar mainlobe jamming

doi:10.23919/JSEE.2024.000001

Journal of Systems Engineering and Electronics ›› 2024, Vol. 35 ›› Issue (2): 350-360.doi: 10.23919/JSEE.2024.000001

• DEFENCE ELECTRONICS TECHNOLOGY • Previous Articles

A target parameter estimation method via atom-reconstruction in radar mainlobe jamming

Bilei ZHOU¹(), Weijian LIU¹^,*(), Rongfeng LI²(), Hui CHEN¹(), Liang ZHANG¹(), Qinglei DU¹(), Binbin LI¹(), Hao CHEN¹()

¹ Air Force Early Warning Academy, Wuhan 430019, China
² Aerospace Nanhu Electronic Information Technology Co., Ltd., Jingzhou 434000, China

Received:2022-04-28 Accepted:2023-12-23 Online:2024-04-18 Published:2024-04-18
Contact: Weijian LIU E-mail:zhoubilei666888@sina.com;liuvjian@163.com;lrfzmx@aliyun.com;chhglr@sina.com;332401479@qq.com;dql822@163.com;binbinli_1025@163.com;ch19930922@163.com
About author:
ZHOU Bilei was born in 1988. He received his Ph.D. degree at Air Force Early Warning Academy, Wuhan, in 2019. Currently he is a lecturer with Air Force Early Warning Academy. His research interests include radar signal processing and array signal processing. E-mail: zhoubilei666888@sina.com

LIU Weijian was born in 1982. He received his Ph.D. degree in information and communication engineering from National University of Defense Technology, Changsha, China, in 2014. Currently he is a associate professor with Air Force Early Warning Academy. His current research interests include multichannel signal detection, statistical and array signal processing. E-mail: liuvjian@163.com

LI Rongfeng was born in 1971. He received his Ph.D. degree in electromagnetic field and microwave technology from Air Force Engineering University, Xi’an, in 2002. Currently he is a professor with Aerospace Nanhu Electronic Information Technology Co., Ltd. His major research interests include radar signal processing, array signal processing and space-time adaptive processing. E-mail: lrfzmx@aliyun.com

CHEN Hui was born in 1974. He received his Ph.D. degree from Huazhong University of Science and Technology, Wuhan, China, in 2009, in electrical engineering. He has been the director of the Air Force Early Warning Academy since 2009, where he has been a professor since 2010. His research interests include array signal processing, radar systems and radar signal processing. E-mail: chhglr@sina.com

ZHANG Liang was born in 1987. He received his Ph.D. degree in information and telecommunications engineering from Naval Aviation University, Yantai, in 2021. Currently he is a postdoctoral fellow at Air Force Early Warning Academy. His research interests include radar signal processing and detection. E-mail: 332401479@qq.com

DU Qinglei was born in 1981. He received his Ph.D. degree in the signal and information processing from the Electronics Information School, Wuhan University, Wuhan, China, in 2019. He is an associate professor at Air Force Early Warning Academy. His current research interests include radar target detection, recognition, and digital image processing. E-mail: dql822@163.com

LI Binbin was born in 1988. He received the Ph.D. degrees from Air Force Engineering University, Xi’an, China, in 2019. He is currently an associate professor at Air Force Early Warning Academy, Wuhan, China. His main interest is direction-of-arrival estimation and anti-jamming for polarization sensitive array. E-mail: binbinli_1025@163.com

CHEN Hao was born in 1993. He received his M.S. degree in information and communication engineering from Air Force Early Warning Academy, Wuhan, in 2018. Currently he is a lecturer with Air Force Early Warning Academy. His research interests include array signal processing and radar signal processing. E-mail: ch19930922@163.com
Supported by:
This work was supported by the National Natural Science Foundation of China (62071482; 62001510) and the Civil Aviation Administration of China (U1733116).

Abstract

Abstract:

Mainlobe jamming (MLJ) brings a big challenge for radar target detection, tracking, and identification. The suppression of MLJ is a hard task and an open problem in the electronic counter-counter measures (ECCM) field. Target parameters and target direction estimation is difficult in radar MLJ. A target parameter estimation method via atom-reconstruction in radar MLJ is proposed in this paper. The proposed method can suppress the MLJ and simultaneously provide high estimation accuracy of target range and angle. Precisely, the eigen-projection matrix processing (EMP) algorithm is adopted to suppress the MLJ, and the target range is estimated effectively through the beamforming and pulse compression. Then the target angle can be effectively estimated by the atom-reconstruction method. Without any prior knowledge, the MLJ can be canceled, and the angle estimation accuracy is well preserved. Furthermore, the proposed method does not have strict requirement for radar array construction, and it can be applied for linear array and planar array. Moreover, the proposed method can effectively estimate the target azimuth and elevation simultaneously when the target azimuth (or elevation) equals to the jamming azimuth (or elevation), because the MLJ is suppressed in spatial plane dimension.

Key words: mainlobe jamming, anti-jamming, atom-reconstruction, radar

Bilei ZHOU, Weijian LIU, Rongfeng LI, Hui CHEN, Liang ZHANG, Qinglei DU, Binbin LI, Hao CHEN. A target parameter estimation method via atom-reconstruction in radar mainlobe jamming[J]. Journal of Systems Engineering and Electronics, 2024, 35(2): 350-360.

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References 21

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Parameter	Value
Element number	$ 20 $
Element spacing	Half a wavelength
Beam steering direction/(°)	$ 0$
$ \text{B}{{\text{w}}_{0.5}} $ (denotes 3 dB beam width)/(°)	$ 5.05 $
Target location	$ 0{}^\circ $, the $ 100\text{th} $ sample point
Noise	White Gaussian noise

Normalized jammer angle	Effective region of angle estimation/dB	SNR loss ($ \text{SN}{{\text{R}}_{e}} $= 0 dB)/dB
1/2 $ \text{B}{{\text{w}}_{0.5}} $	$ \text{SN}{{\text{R}}_{e}} \ge -12 $	2.612
1/4 $ \text{B}{{\text{w}}_{0.5}} $	$ \text{SN}{{\text{R}}_{e}} \ge -5 $	7.454
1/10 $ \text{B}{{\text{w}}_{0.5}} $	$ \text{SN}{{\text{R}}_{e}} \ge 3 $	14.95
1/20 $ \text{B}{{\text{w}}_{0.5}} $	$ \text{SN}{{\text{R}}_{e}} \ge 8 $	21.05

Jamming condition	Jamming parameter
Jamming condition	Number	Power/ dB	Type	Angle/(°)
Jamming condition 1	1	50	Mainlobe noise blanket jamming	1/4 $ {\mathrm{Bw}}_{0.5} $
Jamming condition 2	2	50, 50	Mainlobe noise blanket jamming	1/4, −1/4 $ \text{B}{{\text{w}}_{0.5}} $
Jamming condition 3	3	50, 50, 50	Mainlobe noise blanket jamming	1/4, −1/4, 1/2 $ \text{B}{{\text{w}}_{0.5}} $

Jamming condition	Criterion
Jamming condition	Effective region of angle estimation/dB	SNR loss/dB
Jamming condition 1	$ \text{SN}{{\text{R}}_{e}} \ge -5 $	7.454
Jamming condition 2	$ \text{SN}{{\text{R}}_{e}} \ge 13 $	21.57
Jamming condition 3	$ \text{SN}{{\text{R}}_{e}} \ge 30 $	34.16

Parameter	Value
Row number	$ 20 $
Column number	$ 24 $
Element spacing	Half a wavelength
Beam steering direction	$ (90{}^\circ, 30{}^\circ) $
$ \text{B}{{\text{w}}_{0.5}} $	$ (4.2{}^\circ, 5.05{}^\circ) $
Noise	White Gaussian noise
Target location	$ (90{}^\circ, 30{}^\circ) $, the $ 100\text{th} $ sample point
Jammer location	$ (91.05{}^\circ, 31.25{}^\circ) $
Jamming type	Mainlobe blanket jamming
$ {{\text{SNR}}_{e}} $/dB	$ -7 $
JNR/dB	$ 50 $

A target parameter estimation method via atom-reconstruction in radar mainlobe jamming

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