Spaceborne Synthetic Aperture Radar Imaging

In this paper, we present the Spaceborne Synthetic Aperture Radar (SAR) imaging process for low squint angle case in stripmap mode. We describe the entire SAR image reconstruction procedure. We then use experimental data gathered from RADARSAT-1 satellite of Vancouver, Canada and reconstruct the SAR image and show the results

Adding Sensitivity to the MLBF Doppler Centroid Estimator

Abstract—The multilook beat frequency (MLBF) algorithm is the Doppler centroid estimator most commonly used in practice to solve the Doppler ambiguity. However, it still makes errors, notably in medium- or low-contrast scenes. In this paper, we present two ways in which the estimation sensitivity of the MLBF algorithm can be improved. First, we give a more thorough frequencydomain explanation of how the MLBF algorithm works and explain how cross beating and range migration cause estimation difficulties. The first improvement to the algorithm replaces the fast Fourier transform (FFT)-based beat frequency estimator with a more accurate one that uses phase increments. It avoids the FFT limitations of resolution and quantization, especially when the signal is discontinuous in one range cell due to range cell migration or burst mode operation (ScanSAR). A second improvement uses range cell migration correction to straighten the target trajectories before the beat frequency estimator is applied. This has the effect of narrowing the bandwidth of the beat signal and reducing the effect of cross beating. Finally, experiments with RADARSAT-1 data are used to illustrate the improved estimation accuracy of the modified algorithm. Index Terms—Burst mode SAR, Doppler ambiguity resolution, Doppler centroid estimation, frequency estimation, multilook beat frequency (MLBF), range cell migration correction (RCMC), SAR antenna pointing angle, ScanSAR, synthetic aperture radar (SAR). I