The GPGA algorithm is shown to preserve the four crucial signal processing steps comprising the PGA algorithm while alleviating the constraint of using a single scatterer per range cut for phase error estimation, which exists with the PGA algorithm.
Feb 14, 2019
Abstract—The phase gradient autofocus (PGA) algorithm has seen widespread use and success within the synthetic aperture radar (SAR) imaging community.
The GPGA algorithm preserves the four crucial signal processing steps comprising the PGA algorithm, while alleviating the constraint of using a single scatterer ...
Mar 22, 2019 · In this work, a generalized phase gradient autofocus (GPGA) algorithm is developed which is applicable with both the PFA and backprojection ...
A generalized phase gradient autofocus (GPGA) algorithm is developed that is applicable with both the PFA and backprojection algorithm (BPA).
The recently introduced Phase Gradient Autofocus (PGA) algorithm is a non-parametric autofocus technique which has been shown to be quite effective for ...
Oct 22, 2024 · The GPGA algorithm is shown to preserve the four crucial signal processing steps comprising the PGA algorithm, while alleviating the constraint ...
The PGA algorithm has proven to be a superior method for higher order autofocusing because it does not assume a model for the phase error.
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Mar 29, 2021 · Phase gradient autofocus (PGA) is one of the most widely used algorithms to estimate the phase error [5]. The method assumes all the complex ...
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Recently, we developed a generalized phase gradient autofocus (GPGA) algorithm for performing synthetic aperture radar (SAR) autofocus over arbitrary flight ...