Systems Engineering and Electronics ›› 2023, Vol. 45 ›› Issue (11): 3437-3448.doi: 10.12305/j.issn.1001-506X.2023.11.09

• Sensors and Signal Processing • Previous Articles     Next Articles

Joint cognitive design method of waveform and filter for multi-mainlobe jamming

Yu LIN, Yi BU, Xianxiang YU, Guolong CUI   

  1. School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China
  • Received:2022-03-28 Online:2023-10-25 Published:2023-10-31
  • Contact: Xianxiang YU

Abstract:

Multi-mainlobe jamming and radar echo coincide highly in space, time, frequency, and other dimensions, which seriously weakens radar detection performance. In order to solve the problem of simultaneous interference of chopping and interleaving (C&I), intermittent sampling direct forwarding, and intermittent sampling repeated forwarding, an anti-multi-mainlobe interference method based on joint optimization of transmitting waveform and receiving filter is proposed in this paper. Firstly, C&I, intermittent sampling, and direct forwarding and intermittent sampling repeated forwarding interference signal models is constructed based on constant mode phase coded signal. Then, under the condition that the interference parameters are fully known or biased, the joint optimization problem of transmitting and receiving is established based on the peak level of waveform correlation function, the matching error of main lobe template of correlation function, and the weighting and minimization criteria of interference energy under the constraint of signal to noise ratio (SNR). Then, by using penalty function method, norm transformation, and other methods, the non-convex, non-smooth, and constrained optimization problem is transformed into a minimization problem about the function of independent variables (composed of signal phase, filter amplitude and phase). The iterative limited-memory Broyden-Fletcher-Goldfarb-Shanno (L-BFGS) algorithm is used to solve the problem. Finally, simulation results show that the optimization method can effectively suppress multi-mainlobe interference and sidelobe level to a certain extent, and could control the SNR loss to a certain extent.

Key words: multi-mainlobe jamming, cognitive design, waveform and filter joint design

CLC Number: 

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