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A Synthetic aperture radar (SAR) simulator for image quality evaluation is presented. This simulator can be used for the estimation of SAR image quality performance from the simulated raw data using different wideband signals. These signals are random noise, chirp and chirp-Gaussian (proposed) waveforms. In this paper, a mathematical model for these waveforms is introduced. The autocorrelation function, power spectral density, and delay-Doppler ambiguity function (AF) for the proposed waveform are plotted to show that proposed waveform reduced sidelobes to -55 dB. Computer plots of theses waveforms and the resulted SAR image are generated to illustrate the features of the proposed waveform for resolution, clutter suppression, and detection of larger and more complex targets. It is shown that by using wideband Chirp-Gaussian waveform, one can achieve high image resolution and reduced range estimation ambiguity.