基于机载单天线雷达一维距离数据的地表三维信息优化重建方法

doi:CNKI:11-1929/V.20110426.1120.006

Abstract

Abstract: Under the arbitrary relative motion of airborne radar, the rigid ground surface holds the geometry invariance. Based on this restriction, the 3D terrain information and the unknown motion path of the carrier-aircraft can be reconstructed using the 1D range data of some strong scatterers extracted from the radar range image. Considering the problem that current reconstruction algorithms based on far-field assumption are incompetent for reconstructing the ground target which involves larger near-field range errors, an optimal reconstruction algorithm based on near-field model of the radar range measurement is proposed and it achieves the bundle adjustment for the reconstructed parameters by utilizing the nonlinear optimization. The simulations verify that, the reconstructed precision of this algorithm is of remarkable improvement for near-field target and, hence, the high precision geometric reconstruction for the terrain’s 3D information under the arbitrary unknown 3D motion of the airborne single-antenna radar is realized.

Key words: 3D reconstruction, 3D radar imaging, geometry invariance, bundle adjustment, radar range image

CLC Number:

ZHANG Yingkang, XIAO Yang. Optimal Reconstruction Algorithm for 3D Terrain Information Based on 1D Range Data of Airborne Single-antenna Radar[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2011, 32(7): 1292-1301.

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Optimal Reconstruction Algorithm for 3D Terrain Information Based on 1D Range Data of Airborne Single-antenna Radar

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