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Because of flexible geometric configuration and trajectory designation, time-domain algorithms become popular for unmanned aerial vehicle (UAV) synthetic aperture radar (SAR) applications. In this paper, a new quasi-polar-coordinate-based fast factorized back-projection (FFBP) algorithm combined with data-driven motion compensation is proposed for miniature UAV-SAR imaging. By utilizing wavenumber...
Comparing with general side-looking strip-map SAR, the signal property of UAV (unmanned aerial vehicle) spotlight SAR is much more complex and the current method for forward velocity extraction is no longer valid. In this paper, the relationship between the Doppler rate of the spotlight SAR and the motion of the UAV platform is revealed, and a novel approach for forward velocity extraction is proposed...
Recently, compressive sensing theory has been successfully applied in inverse synthetic aperture radar (ISAR) imaging. However, the issue of maneuvering target imaging from compressive sampling data has not been sufficiently addressed because it is difficult to jointly deal with both sparse imaging and motion compensation under compressive sampling. In this paper, we develop a novel algorithm of high-resolution...
In this paper, the analytic expression of synthetic aperture radar (SAR) image spectrum in the polar grid system is derived based on the wavenumber analysis. By revealing the relationship between wavenumber variable and image spectrum in the polar system, we can better understand the mechanism of fast factorized BP (FFBP) processing. Moreover, the form of phase error in spectral domain can be possibly...
In this paper, a novel algorithm of rotational parameter estimation is proposed for high-resolution inverse synthetic aperture (ISAR) imaging of maneuvering targets. For a non-uniform rotation target, the signal model is formulated. Then, an entropy minimization approach is used to estimate the rotational parameters, which is solved by using a coordinate descent algorithm based on quasi-Newton method...
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