NLOS Positioning for Building Layout and Target Based on Association and Hypothesis Method
NLOS Positioning for Building Layout and Target Based on Association and Hypothesis Method
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DOI：
10.1109/tgrs.2023.3250831
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发表时间：
2023
影响因子：
8.2
通讯作者：
Peilun Wu;Jiahui Chen;Shisheng Guo;G. Cui;L. Kong;Xiaobo Yang
中科院分区：
文献类型：
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作者：
Peilun Wu;Jiahui Chen;Shisheng Guo;G. Cui;L. Kong;Xiaobo Yang
近年来，复杂城市环境下的非视距（NLOS）目标定位问题引起了广泛的关注。然而，对环境的精确先验信息的要求是理想化的。在实际应用之前，了解视觉盲区内的环境信息是一个挑战。本文提出了一种在没有任何先验信息的情况下对L形场景中的建筑物布局和目标位置进行联合估计的算法。具体而言，往返多径传播模型首先开发的衍射和多次反射的情况下。然后，接收到的回波信号进行预处理与运动目标识别（MTI），反投影（BP）成像，和图像分割。此外，利用几何关联筛选出的目标点，进一步采用多径虚反射假设法进行匹配和估计，实现了建筑物布局和目标位置的联合感知估计。最后，电磁（EM）仿真和实验测量被用来验证所提出的算法的有效性。
Localization of non-line-of-sight (NLOS) targets in the complex urban environment has attracted significant attention in recent years. However, the requirement for precise prior information about the environment is idealistic. It is challenging to know the environmental information in the blind area of vision in advance of practical applications. This article proposes a joint estimation algorithm for building layout and target position in the L-shaped scene without any prior information. Specifically, a round-trip multipath propagation model is first developed for the cases of diffraction and multiple reflections. Then, the received echo signal is preprocessed with moving target identification (MTI), back-projection (BP) imaging, and image segmentation. In addition, the target points, which are screened by the geometric association, are further matched and estimated by the multipath ghost’s hypothesis method, thus realizing the joint perceptual estimation of the building layout and the target position. Finally, electromagnetic (EM) simulations and experimental measurements are used to validate the effectiveness of the proposed algorithm.