Speed Interference Suppression for PD Radar Based on Adaptive Dictionary

Authors

  • Zhe Du Shanghai Electro-Mechanical Engineering Institute, Shanghai 201109, China
  • Lexin Yu College of Information & Communication Engineering, Harbin Engineering University, Harbin 150001, China
  • Jin Zhang Shanghai Electro-Mechanical Engineering Institute, Shanghai 201109, China
  • Mingjuan Cai Naval Research Academy, Shanghai 200235, China
  • Tao Jiang College of Information & Communication Engineering, Harbin Engineering University, Harbin 150001, China

DOI:

https://doi.org/10.13052/2022.ACES.J.370313

Keywords:

speed deception jamming, anti-jamming, sparse decomposition, dictionary learning, KLT basis

Abstract

Random pulse initial phase (RPIP) signal is a kind of agility waveform which is commonly used in pulse Doppler (PD) radar. Although RPIP has the merit of restraining velocity deception jamming effectively, its efficiency is restricted under the condition of strong interference. To make the RPIP signal fully play the anti-jamming performance, this paper proposed a speed interference suppression method based on adaptive dictionar that separates the target echo from the strong jamming signal with good sparsity. First, the prior knowledge of strong interference signal is obtained by the technique of peak detection which is combined with the dual channel processing. Second, the quasi-Karhunen-Loeve transform (Q-KLT) basis of interference signal is constructed based on the prior knowledge, and the approximate Q-KLT basis of target signal is constructed by the way of dictionary learning, and those signals can be obtained from the adaptive dictionary by the algorithm of base tracking (BP). Finally, the effectiveness of the proposed method is verified by numerical simulation, which proves that the method can ensure a lower Doppler sidelobe in the strong interference scene, which confirmed that it has a good anti-velocity deception performance.

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Author Biographies

Zhe Du , Shanghai Electro-Mechanical Engineering Institute, Shanghai 201109, China

Zhe Du received the B.S. degree from Qing Dao University in 2010 and the M.S. degree from Shanghai University in 2013.

He works with Shanghai Electro-Mechanical Engineering Institute as a Senior Engineer. His research interests include electromagnetic compatibility, complex system simulation and evaluation, antenna theory, and design.

Lexin Yu , College of Information & Communication Engineering, Harbin Engineering University, Harbin 150001, China

Lexin Yu received the B.S. degree from the School of Electronics and Information Engineering, Tianjin Polytechnic University in 2017 and the M.S. degree from the School of Information and Communication Engineering, Harbin Engineering University in 2021.

After studies, he worked with Huawei Company, China, as an Applications Engineer. His research interests include modeling and simulation, and anti-jamming technology.

Jin Zhang , Shanghai Electro-Mechanical Engineering Institute, Shanghai 201109, China

Jin Zhang received the B.S. degree from the School of Astronautics, Northwestern Polytechnical University in 2016 and the M.S. degree from the School of Astronautics, Northwestern Polytechnical University in 2019.

She works with Shanghai Electro-Mechanical Engineering Institute as an Applications Engineer. Her research interests include electronic modeling and simulation, and guidance and control system design for flight vehicles.

Mingjuan Cai, Naval Research Academy, Shanghai 200235, China

Mingjuan Cai received the Ph.D degree from National University of Defence Technology, Changsha, China, in 2006. She works with Naval Research Academy as a Senior Engineer. Her current research interests include electromagnetic simulation, electromagnetic compatibility and evaluation.

Tao Jiang, College of Information & Communication Engineering, Harbin Engineering University, Harbin 150001, China

Tao Jiang received the Ph.D. degree from the Harbin Engineering University, Harbin, China, in 2002.

Since 1994, he has been a Faculty Member of College of Information and Communication, Harbin Engineering University, where he is currently a Professor. He was a Postdoctoral Researcher with the Research Institute of Telecommunication, Harbin Institute of Technology, Harbin, China, from 2002 to 2003, and a Visiting Scholar with the Radar Signal Processing Laboratory, National University of Singapore, from 2003 to 2004. His current research interests include radio wave propagation, complex electromagnetic system evaluation, modeling, and simulation.

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Published

2022-07-10

How to Cite

[1]
Z. . Du, L. . Yu, J. . Zhang, M. . Cai, and T. . Jiang, “Speed Interference Suppression for PD Radar Based on Adaptive Dictionary”, ACES Journal, vol. 37, no. 03, pp. 354–362, Jul. 2022.

Issue

2022: Vol 37 Iss 3

Section

Articles