Detection and localization in urban environments is a very recent radar problem. In this paper, we investigate the possibility of detecting and locating targets not in direct line of sight (NLOS) areas with a single portable radar by exploiting multipath returns. We propose two algorithms, which handle the information provided by multipath returns in different ways to detect and estimate the NLOS target position. We also present an original method to select the number of paths to take into account in the algorithms in order to maximize detection probabilities. Numerical results show good efficiency of the proposed algorithms for problems of both detection and localization. We show that applying these algorithms improves detection performance compared to a classic matched filter in a typical urban scenario. Experimental results on a real dataset allow us to validate our multipath model in urban environments, and in particular to show that it is possible to retrieve the target location even with rough knowledge of the scene geometry.

中文翻译：

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绕角雷达问题中的检测定位算法

城市环境中的检测和定位是一个非常新的雷达问题。在本文中，我们研究了通过利用多径回波，使用单个便携式雷达检测和定位不在直接视线 (NLOS) 区域内的目标的可能性。我们提出了两种算法，它们以不同的方式处理多径返回提供的信息，以检测和估计 NLOS 目标位置。我们还提出了一种原始方法来选择算法中要考虑的路径数量，以最大化检测概率。数值结果表明，所提出的算法对于检测和定位问题具有良好的效率。我们表明，与典型城市场景中的经典匹配滤波器相比，应用这些算法可以提高检测性能。