AET-IAA: A Novel Approach to Enhance Azimuth Resolution for ScanSAR Interferometry

An Improved Full-Aperture ScanSAR Imaging Method Integrating the MIAA Based Aperture Interpolation

“…Typically, no more than 10 to 15 iterations are required for (6) reaching convergence [28,29]. Once the estimated spectrumF b1 ðω k Þ has been computed, the missing samples in the time domain can be estimated by an MMSE estimator as shown in (8), which is the second step of the MIAA [29].…”

“…In each subswath, the received data are blocked into bursts of radar echoes in the azimuth direction. In general, burst-byburst [7][8][9] and full-aperture [10,11] approaches can be used to process ScanSAR data and these two kinds of approaches have different processing flows. Among them, the burst-by-burst approach is the standard approach, which is computationally efficient.…”

“…In the LPM-AIT, the gaps between bursts are recovered by the linear prediction model (LPM), and the coefficient of the LPM is estimated by the Burg algorithm [24]. A similar method is also used in the data infilling part of the algorithm in [8] to enhance the azimuth resolution when ScanSAR data imaged by a burst-by-burst approach. However, when using the LPM, the missing-data proportion should be no more than 50% [25], and the data recovery capability of the LPM decreases significantly as the proportion of missing data increases, which makes this algorithm only suitable for the ScanSAR system with no more than 2 subswaths.…”