Super resolution radar imagery based on 2D linear extension

This paper presents a procedure to process two dimensional RCS data to obtain super-resolution radar imagery. The data is collected by an inverse synthetic aperture radar (ISAR) in the X-band. The procedure is called two dimensional (2D) linear extension. It is used to enhance the resolution of ISAR images beyond the classical Rayleigh limit. For comparison purpose, the procedure has been implemented using two different linear prediction algorithms, (1) the modified forward backward linear prediction (MFBLP) and (2) the constrained total least squares (CTLS). The potential applications include magnetic resonance and synthetic aperture radar imaging.<
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