Bayesian iterative reweighted sparse autofocus array SAR imaging method

The invention discloses a Bayesian iterative reweighted sparse autofocus array synthetic aperture radar (SAR) imaging method. The Bayesian iterative reweighted sparse autofocus array SAR imaging method aims at the influence of phase errors existing in array SAR echo signals on imaging results. Based...

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Hauptverfasser: DANG LIWEI, FAN XINYUE, TIAN BOKUN, WEI SHUNJUN, SHI JUN, ZHANG XIAOLING, YAN MIN
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creator DANG LIWEI
FAN XINYUE
TIAN BOKUN
WEI SHUNJUN
SHI JUN
ZHANG XIAOLING
YAN MIN
description The invention discloses a Bayesian iterative reweighted sparse autofocus array synthetic aperture radar (SAR) imaging method. The Bayesian iterative reweighted sparse autofocus array SAR imaging method aims at the influence of phase errors existing in array SAR echo signals on imaging results. Based on a traditional sparse autofocus Bayesian recovery via iterative minimum (SAFBRIM) algorithm, a linear measurement matrix of scattering coefficients in the array SAR original echo signals and an observation scene target space is established, norm items in a cost function in the algorithm are subjected to iterative adaptive reweighted processing, pulse compression and equidistant surface division are carried out on a distance direction, and then each equidistant two-dimensional surface is estimated. According to the Bayesian iterative reweighted sparse autofocus array synthetic aperture radar (SAR) imaging method, different weighting coefficients are given to each norm item, and then imagesare reconstructed, so th
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subjects ANALOGOUS ARRANGEMENTS USING OTHER WAVES
DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES
LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION ORRERADIATION OF RADIO WAVES
MEASURING
PHYSICS
RADIO DIRECTION-FINDING
RADIO NAVIGATION
TESTING
title Bayesian iterative reweighted sparse autofocus array SAR imaging method
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