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ISAR imaging using rear view of an automobile

ISAR imaging using rear view of an automobile
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This paper introduces the inverse synthetic aperture radar (ISAR) imaging technique for rear view target of an automobile, which uses both linear frequency modulation-frequency shift keying (LFM-FSK) waveform and monopulse tracking. The LFM-FSK waveform consists of two sequential stepped frequency waveforms with some frequency offset, and thus, can be used to generate ISAR images of rear view target of an automobile. However, ISAR images can be blurred due to following three factors, such as inter-pulse phase errors, inter-burst translational motion that defined as a target motion along radar line of sight (RLOS), and non-uniform change rate of relative aspect angle between the radar and targets. In order to obtain focused ISAR images, appropriate motion compensation should be applied. The motion compensation procedure can be divided into following three steps: removing inter-pulse phase errors using particle swarm optimization (PSO), translational motion compensation, rotational motion compensation using Lagrange interpolation. Simulation results show that the motion compensation technique mentioned above can effectively remove blurring of ISAR due to motion errors, and finally well focused ISAR images can be generated.
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