稀疏孔径ISAR机动目标成像与相位补偿方法

doi:10.7527/S1000-6893.2013.0043

Abstract

Abstract:

The modern inverse synthetic aperture radar (ISAR) has the function of surveying multiple targets in different operating modes. But the apertures of any target are sparse because of the beam switching. The targets always navigate using a maneuvering way at the same time, which lead to the cross-range signals modeled as high-order frequency signals. Both the traditional ISAR phase compensation method and imaging method based on the continuous sampling signal models are inadequate in the maneuvering case. New phase compensation and imaging method for the maneuvering target with sparse aperture (SA) is proposed in this paper. Firstly, the signal model of the sparse apeture ISAR for maneuvering targets is founded, then the phase error terms are estimated precisely by solving the maximum norm-2 optimization, and the estimated accuracy of phase error terms is reinforced by embedding iterations. After phase error compensation, the redundant chirp-Fourier dictionary of the maneuvering target is built by the compressed sensing theory, and the full apertures (TA) data can be reconstructed from the SA measurements precisely by solving the sparsity-driven optimization. The results of simulated data and real measured data verify the validity of the proposed algorithm.

Key words: inverse synthetic aperture radar, sparse apertures, maneuvering target, phase compensation, sparse representation

CLC Number:

HUANG Darong, GUO Xinrong, ZHANG Lei, XING Mengdao, BAO Zheng. ISAR Phase Compensation and Imaging of Maneuvering Target with Sparse Apertures[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2014, 35(7): 2019-2030.

References

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ISAR Phase Compensation and Imaging of Maneuvering Target with Sparse Apertures

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