Inverse synthetic aperture radar is driven to a larger bandwidth to achieve a finer resolution. However, severe amplitude-phase distortion of radar greatly destroys the amplitude and phase of the chirp signal and hence becomes a major challenge to the fulfillment of the desired high-resolution performance. An adaptive framework is proposed to compensate for the distortion of a wideband radar system without the measurement of its intrinsic characteristic. The distorted image of the target is obtained first and then used to get cross-range profiles (CRPs). Based on the CRPs, amplitude distortion and phase distortion are compensated by the noise level and the autofocus algorithm, respectively. The proposed framework facilitates the compensation and works well in practical applications. Performance of the proposed framework is validated on simulated and measured data.
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