2014 IEEE Geoscience and Remote Sensing Symposium 2014
DOI: 10.1109/igarss.2014.6946765
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Iterative adaptive method for real-beam scanning imaging

Abstract: This paper present a novel superresolution algorithm for realbeam scanning radar based on the iterative adaptive strategy. Firstly, we establish the objective function based on the minimum mean-square error (MMSE) criterion, then we build the iterative expression by update the covariance matrix. This algorithm has better superresolution performance than traditional deconvolution method. Simulation results verified the analysis before.

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Cited by 2 publications
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“…a fingerprint and store it in a database. When presented with unlabeled audio, its fingerprint is calculated and matched against those stored in the database [5,6].…”
Section: Introductionmentioning
confidence: 99%
“…a fingerprint and store it in a database. When presented with unlabeled audio, its fingerprint is calculated and matched against those stored in the database [5,6].…”
Section: Introductionmentioning
confidence: 99%