Improving ISAR imaging quality based on minimum entropy method
Improving ISAR imaging quality based on minimum entropy method
- Author(s): X. Sun and Z. Bao
- DOI: 10.1049/cp:19971670
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- Author(s): X. Sun and Z. Bao Source: Radar Systems (RADAR 97), 1997 p. 240 – 243
- Conference: Radar Systems (RADAR 97)
- DOI: 10.1049/cp:19971670
- ISBN: 0 85296 698 9
- Location: Edinburgh, UK
- Conference date: 14-16 Oct. 1997
- Format: PDF
Using the classical ISAR imaging method based on the Fourier transform it is difficult to form an image of good quality in the case of a large rotating angle or a nonuniformly rotating target. We first establish the signal models for the two cases above. Then an imaging method for compensating the linearly varying Doppler frequency of the scatterers is proposed. The frequency modulating rate of the Doppler frequency of the scatterers is estimated by means of the minimum Shannon entropy. It is demonstrated by experimental results that the proposed method can alleviate the cross-range cell migration of the scatterers and the imaging quality can be greatly improved.
Inspec keywords: synthetic aperture radar; radar cross-sections; Doppler effect; motion compensation; radar imaging; image resolution; minimum entropy methods
Subjects: Optical information, image and video signal processing; Radar theory
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