Joint Optimization of Waveform and Filter for Target Measurement in Frequency Shift Jamming Scenarios

Abstract

The rapid advancement of active jamming technology has posed a severe challenge to the measurement performance of a radar system. Frequency shift jamming (FSJ) is a widely used coherent jamming technique that can generate false targets at the radar receiver, thereby degrading the measurement of the real target. In this article, we propose a target measurement method in FSJ scenarios through the joint design of the waveform and the filter. The weighted integrated sidelobe level (WISL) and peak penalty function are used to control pulse compression performance and to control FSJ suppression performance over a given frequency range. Under constant modulus waveform and constant filter energy constraints, the joint design problem is formulated accordingly. To solve the joint design problem, a fast iterative algorithm is proposed based on the majorization-minimization (MM) framework, and the closed-form solution for each iteration is derived. The proposed algorithm enables simultaneous updates of the waveform and the filter and has low computational complexity. In addition, an acceleration scheme is adopted to further accelerate the algorithm. Simulation results show that the proposed algorithm has higher computational efficiency than the compared algorithms, and the designed waveform and filter exhibit better target measurement performance in FSJ scenarios. Finally, hardware experiments are carried out to verify the effectiveness of the designed waveform and filter.