IEEE Trans Image Process - Sparse array 3-D ISAR imaging based on maximum likelihood estimation and CLEAN technique.

Tópicos

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{ imag(2830) propos(1344) filter(1198) }
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Resumo

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 cancelation (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 cancelation. 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.

Resumo Limpo

larg d spars array provid high angular resolut microwav imag artifact also induc high sidelob beam pattern thus limit dynam rang clean techniqu use literatur extract strong scatter use subsequ signal cancel artifact remov howev perform dft paramet estim base clean algorithm estim signal amplitud known poor affect signal cancel paper dft use provid initi estim maximum likelihood paramet estim method steepest descent implement use improv precis calcul scatter posit amplitud time domain inform also use reduc sidelob level result clear artifactfre imag obtain effect multipl reflect rotat speed estim error also discuss propos method verifi use numer simul shown effect

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