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• W2100189946 abstract "Large 2-D sparse array provides high angular resolution microwave images but artifacts are also induced by the high sidelobes of the beam pattern, thus, limiting its dynamic range. CLEAN technique has been used in the literature to extract strong scatterers for use in subsequent signal cancellation (artifacts removal). However, the performance of DFT parameters estimation based CLEAN algorithm for the estimation of the signal amplitudes is known to be poor, and this affects the signal cancellation. In this paper, DFT is used only to provide the initial estimates, and the maximum likelihood parameters estimation method with steepest descent implementation is then used to improve the precision of the calculated scatterers positions and amplitudes. Time domain information is also used to reduce the sidelobe levels. As a result, clear, artifact-free images could be obtained. The effects of multiple reflections and rotation speed estimation error are also discussed. The proposed method has been verified using numerical simulations and it has been shown to be effective." @default.
• W2100189946 created "2016-06-24" @default.
• W2100189946 creator A5027037826 @default.
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• W2100189946 creator A5054449161 @default.
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• W2100189946 date "2010-08-01" @default.
• W2100189946 modified "2023-10-06" @default.
• W2100189946 title "Sparse Array 3-D ISAR Imaging Based on Maximum Likelihood Estimation and CLEAN Technique" @default.
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• W2100189946 doi "https://doi.org/10.1109/tip.2010.2045711" @default.
• W2100189946 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/20236885" @default.
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