  High-fidelity deception jamming can seriously mislead Synthetic Aperture
Radar (SAR) image interpretation and target detection, which is difficult to
identify or eliminate through traditional anti-jamming methods. Based on the
Range-Doppler Algorithm (RDA), an anti-jamming method for SAR by using joint
waveform modulation and azimuth mismatched filtering is proposed in this paper.
The signal model of SAR echo after pulse compression with deception jamming is
derived from the radar detection and jamming characteristics. A multi-objective
cost function is introduced to suppress the jamming level and keep the real
target information, parameterized with the waveform initial phase and the
azimuth mismatched filter coefficients, which is optimized using the
second-order Taylor expansion approximation and the alternating direction
multiplier method (ADMM). The performance of this proposed method is evaluated
through the convergence analysis and anti-jamming experiments on the point
target and the distributed target scenarios.

Signal Processing