An anti-main-lobe jamming algorithm for airborne early warning radar based on APC-SVRGD joint optimization

doi:10.23919/JSEE.2022.000014

Journal of Systems Engineering and Electronics ›› 2022, Vol. 33 ›› Issue (1): 134-143.doi: 10.23919/JSEE.2022.000014

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An anti-main-lobe jamming algorithm for airborne early warning radar based on APC-SVRGD joint optimization

Fang PENG¹(), Jun WU^2,*(), Shuai WANG¹(), Zhijun LI¹(), Jianjun XIANG¹()

¹ Aviation Engineering School, Air Force Engineering University, Xi’an 710038, China
² Air Traffic Control and Navigation School, Air Force Engineering University, Xi’an 710051, China

Received:2020-11-05 Online:2022-01-18 Published:2022-02-22
Contact: Jun WU E-mail:wuboy0210@163.com;23202518172@qq.com;1812268525@qq.com;xiang787419@163.com
About author:|PENG Fang was born in 1973. She received her M.S. and Ph.D. degrees in signal and information processing, communication, and information systems from Air Force Engineering University, Xi’an in 2005 and 2008, respectively. Since 2018, she has been an associate professor with the Aviation Engineering School, Air Force Engineering University. Her research interests include array signal processing and airborne early warning and detection technology. E-mail: pengfang0916@163.com||WU Jun was born in 1972. He received his B.S. and M.S. degrees in radio communication, computer application from Air Force Engineering University, Xi’an in 1992 and 1996, respectively. Since 2018, he has been an professor of Air Traffic Control and Navigation School, Air Force Engineering University. His research interests include operational planning and mission planning. E-mail: wuboy0210@163.com||WANG Shuai was born in 1996. He received his B.S. degree in communication engineering from Northeastern University in 2019. He is currently a postgraduate student in Air Force Engineering University. His research interest is array signal processing. E-mail: 23202518172@qq.com||LI Zhijun was born in 1997. He received his B.S. degree in communication engineering from Air Force Engineering University in 2019. He is currently a postgraduate student in Air Force Engineering University. His research interest is array signal processing. E-mail: 1812268525@qq.com||XIANG Jianjun was born in 1973. He received his M.S. and Ph.D. degrees in signal and information processing, communication, and information systems from Air Force Engineering University in 2001 and 2005, respectively. Since 2013, he has been an associate professor of Aviation Engineering School, Air Force Engineering University. His research interests focus on airborne early warning and detection technology. E-mail: xiang787419@163.com
Supported by:
This work was supported by the Aviation Science Foundation of China (20175596020)

Abstract

Abstract:

Main lobe jamming seriously affects the detection performance of airborne early warning radar. The joint processing of polarization-space has become an effective way to suppress the main lobe jamming. To avoid the main beam distortion and wave crest migration caused by the main lobe jamming in adaptive beamforming, a joint optimization algorithm based on adaptive polarization canceller (APC) and stochastic variance reduction gradient descent (SVRGD) is proposed. First, the polarization plane array structure and receiving signal model based on primary and auxiliary array cancellation are established, and an APC iterative algorithm model is constructed to calculate the optimal weight vector of the auxiliary channel. Second, based on the stochastic gradient descent principle, the variance reduction method is introduced to modify the gradient through internal and external iteration to reduce the variance of the stochastic gradient estimation, the airspace optimal weight vector is calculated and the equivalent weight vector is introduced to measure the beamforming effect. Third, by setting up a planar polarization array simulation scene, the performance of the algorithm against the interference of the main lobe and the side lobe is analyzed, and the effectiveness of the algorithm is verified under the condition of short snapshot number and certain signal to interference plus noise ratio.

Key words: airborne early warning radar, adaptive beamforming, main-lobe interference suppression, adaptive polarization canceller (APC), stochastic variance reduction gradient descent (SVRGD)

Fang PENG, Jun WU, Shuai WANG, Zhijun LI, Jianjun XIANG. An anti-main-lobe jamming algorithm for airborne early warning radar based on APC-SVRGD joint optimization[J]. Journal of Systems Engineering and Electronics, 2022, 33(1): 134-143.

Figures/Tables 11

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An anti-main-lobe jamming algorithm for airborne early warning radar based on APC-SVRGD joint optimization

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