Sub-aperture algorithm for motion compensation improvement in wide-beam SAR data processing

Octave Division Motion Compensation Algorithm for Near-Range Wide-Beam Sar Applications

“…According to the SAR algorithm computation load analysis presented in [11], the computation load of the ODA is about 46% higher than that of the spotlike algorithm. Furthermore, the other two algorithms proposed in [8,9] perform extra azimuth Fourier transforms, which generally have higher computation load than range Fourier transforms in near-range SAR applications. Therefore, ODA has less computation load than the other three MoCo algorithms [8][9][10].…”

“…The residual broadening effects after MoCo are caused by residual azimuth-variant motion errors. Although they can be compensated by the algorithms proposed in [8][9][10], a much higher computation load would result.…”

“…proposed [7][8][9][10]. However, the MoCo algorithms proposed in [7][8][9] all make a compromise among computational load, angle accommodation and trajectory deviation accommodation.…”

“…However, the MoCo algorithms proposed in [7][8][9] all make a compromise among computational load, angle accommodation and trajectory deviation accommodation. Alternatively, the MoCo algorithm proposed in [10] trades the computational load for processing quality.…”

Improved Motion Compensation for Wide-Beam Wide-Swath Airborne Sar

“…For these systems operating at low frequencies, e.g., the VHF/UHF band, or at higher frequencies (usually more than 1 GHz) with super high azimuth resolution (0.5 m or higher), motion compensation (MoCo) is quite a challenge. One problem comes from the wide-beam azimuth processing of the angular dependent motion errors, which has already been solved by using a sub-aperture MoCo approach [1]. Another problem is that the MoCo accuracy at the edge of the swath is always lower than that at the swath centre (usually corresponding to the reference range), especially when the system works in a wide-swath mode.…”