This document proposes using random pulse timing in synthetic aperture radar (SAR) imaging to achieve high azimuth resolution while maintaining full ground range coverage. It describes how compressive sensing allows for undersampling by mixing missing data through randomization. An iterative reconstruction algorithm is used to incorporate the sparsity prior and reconstruct high-resolution SAR images from randomly sampled radar echo data. Simulation results using synthetic data demonstrate the approach can produce images with improved azimuth resolution compared to uniform pulse timing schemes.