基于多静态超宽带雷达的任意运动目标非参数精确成像算法

R. Yamaguchi, S. Kidera, T. Kirimoto
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引用次数: 0

摘要

超宽带脉冲雷达是一种很有前途的技术,可以用于灾难场景中救援机器人的成像传感器,在这种情况下,由于黑暗烟雾或高密度气体,光学传感器不适用。对于上述应用,虽然已经提出了一种具有紧凑观测模型的任意运动目标的有前途的超宽带雷达成像算法,但它基于目标边界的椭球近似,因此很难适用于复杂目标形状,特别是当目标具有镜面或表面边缘时。针对上述问题,本文提出了一种多静态雷达任意运动(包括旋转、平移)目标的非参数鲁棒成像算法,该算法基于将距离点迁移扩展到该模型中得到的目标边界点匹配。为了提高低信噪比情况下的成像精度,该方法还采用了对得到的距离点进行积分的方法,其中等效天线位置对估计的目标运动进行了正确的补偿。数值仿真结果表明,该方法在不需要任何目标和运动模型的情况下,能够准确地提取运动目标的表面,并对目标的运动进行估计。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Nonparametric and accurate imaging algorithm for a target with arbitrary motion using multi-static UWB radar
Ultra-wideband pulse radar is a promising technology for the imaging sensors of rescue robots operating in disaster scenarios, where optical sensors are not applicable because of dark smog or high-density gas. For the above application, while one promising ultra-wideband radar imaging algorithm for a target with arbitrary motion has already been proposed with a compact observation model, it is based on an ellipsoidal approximation of the target boundary, and is thus hardly applicable to complex target shapes, particularly when targets have specular surfaces or surface edges. To tackle the above problem, this paper proposes a non-parametric and robust imaging algorithm for a target with arbitrary motion including rotation and translation using multi-static radar, which is based on the matching of target boundary points obtained by range points migration extended to this model. To enhance the imaging accuracy in situations having lower signal-to-noise ratios, the proposed method also adopts an integration scheme for the obtained range points, where the equivalent antenna locations are correctly compensated for the estimated target motion. Results from numerical simulations show that the proposed method accurately extracts the surface of a moving target, and estimates the motion of the target, without any target or motion model.
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