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High-Resolution Radar Image Reconstruction Using an Arbitrary Array
Toshio WAKAYAMA Toru SATO Iwane KIMURA
IEICE TRANSACTIONS on Communications
Publication Date: 1993/10/25
Print ISSN: 0916-8516
Type of Manuscript: Special Section PAPER (Special Issue on Radar Technology)
Category: Subsurface Radar
radar, image reconstruction, model fitting, nonlinear least-squares, underground detection,
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Radar imaging technique is one of the most powerful tool for underground detection. However, performance of conventional methods is not sufficiently high when the observational direction or the aperture size is restricted. In the present paper, an image reconstruction method based on a model fitting with nonlinear least-squares has been developed, which is applicable to arbitrarily arranged arrays. Reconstruction is executed on the assumption that targets consist of discrete point scatterers embedded in a homogeneous medium. Model fitting is iterated as the number of point target in the assumed model is increased, until the residual in fitting becomes unchanged or small enough. A penalty function is used in nonlinear least-squares to make the algorithm stable. Fundamental characteristics of the method revealed with computer simulation are described. This method focuses a much sharper image than that obtained by the conventional aperture synthesis technique.