Three-Dimensional Reconstruction of Targets Based on Multi-angle High-Resolution Range Profiles

Guangyu Zhu, Hui Ma, Yichao Ma
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Abstract

Ahstract-The two main features of the multi-angle netted radar data acquisition are the echo information diversity and spatial sparsity, which brings about opportunities and challenges respectively. This paper is the first toe xploit t he potential of the multi-angle radar in targets' three-dimensional (3D) reconstruction, under the condition that multiple stations provide one-dimensional (1D) range profiles from every single observation angle. The main idea is to reconstruct all possible samples of correlation using geometric constraints, phase difference relationship and conversion of coordinates. Under the principle of random sampling consistency (RANSAC), a certain number of possible correlated samples are traversed, for reconstruct real target scattering points as well as eliminating false correlated samples. From a practical point of view, there exists random estimation deviation in terms of the platform positioning, time synchronization, platform's observation angle. Hence, error analysis is theoretically derived and simulated under a typical geometry of airborne multi-angle radar. The simulation results have verified t he effectiveness a nd performance b ound of the proposed algorithm.
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基于多角度高分辨率距离像的目标三维重建
多角度组网雷达数据采集的两个主要特点是回波信息的多样性和空间稀疏性,这分别给雷达数据采集带来了机遇和挑战。本文首次挖掘了多角度雷达在多站单观测角度提供一维距离像条件下,对目标进行三维重建的潜力。主要思想是利用几何约束、相位差关系和坐标转换来重建所有可能的相关样本。在随机抽样一致性(RANSAC)原则下,遍历一定数量的可能相关样本,以重建真实目标散射点,并消除虚假相关样本。从实际应用来看,平台定位、时间同步、平台观测角度等存在随机估计偏差。在此基础上,对典型机载多角度雷达几何形状下的误差进行了理论推导和仿真。仿真结果验证了该算法的有效性和性能。
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