ISAR Imaging using Doppler Processing Algorithm for Moving Targets
نویسنده
چکیده
Inverse Synthetic Aperture Radar (ISAR) is used to produce high resolution imagery of non-cooperative targets by retrieving the relative motion parameters of a target with respect to a reference. This concept of estimating motion parameters is applied for obtaining cross-range resolution in ISAR imaging in which one component is produced by the relative motion between the radar and the target and other from the independent ambulatory characteristics of manoeuvring targets. Thus, a highly resolved ISAR image is produced through pulse compression and motion compensation using these point estimates. This paper deals with the modelling of basic MATLAB based signal processing system for Linear FMCW (frequency modulated continuous wave) radars taking chirp signal as input and obtaining accurate motion parameters (point estimates) using the Range-Doppler algorithm based on the 2-D Fourier transform Keywords— ISAR Imaging, Range-Doppler, Linear FMCW, high-resolution Imagery
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