基于先验误差模型的机载高分宽幅DBF-SAR自聚焦算法

doi:10.7527/S1000-6893.2020.24502

Abstract

Abstract: The High-Resolution Wide-Swath (HRWS) Digital Beam Forming (DBF) Synthetic Aperture Radar (SAR) operates with multi-channel spatial sampling instead of partial time-domain sampling, effectively easing the contradiction between high resolution and wide swath of SAR images, exhibiting important military and civilian values. Conventional DBF-SAR imaging methods assume that the relative position of the radar sensor is accurately known. However, phase errors caused by inaccurate sensor positions will seriously affect the high-resolution imaging capability of the DBF-SAR. Based on the Polar Format Algorithm (PFA), the analytical model of the residual azimuth phase error after DBF-SAR imaging processing is derived, and the effect of the error on the imaging quality is analyzed. An autofocusing algorithm based on image contrast optimization is proposed with the deduced analytical structure model of a priori phase errors. This method reduces the spatial dimension of the parameters to be estimated, improving the parameter estimation accuracy and calculation efficiency of the autofocus algorithm by introducing a priori analytical structure information. Simulation data processing results verify the correctness of theoretical analysis and the effectiveness of the proposed method.

Key words: Synthetic Aperture Radar (SAR), High-Resolution Wide-Swath (HRWS), Polar Format Algorithm (PFA), autofocus, Contrast Optimization Autofocusing Algorithm (COAA)

CLC Number:

BAO Yue, CHEN Junyu, SHI Tianyue, MAO Xinhua. Error model-aided autofocus for airborne high resolution wide swath DBF-SAR[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2021, 42(6): 324502-324502.

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Error model-aided autofocus for airborne high resolution wide swath DBF-SAR

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