相关阻塞多径环境下雷达信号相同的多目标定位
Localization of Multiple Targets with Identical Radar Signatures in Multipath Environments with Correlated Blocking
摘要：
本文讨论了定位未知数量的目标，所有具有相同的雷达特征，由一个分布式MIMO雷达组成的单天线发射机和接收机，不能确定方向的出发和到达的问题。此外，我们考虑多径传播的存在，和可能的（相关的）阻塞的直接路径（从发射机和反射目标到接收机）。在其最一般的形式中，这个问题可以被转换为贝叶斯估计问题，其中每个多径分量都被考虑在内。然而，当环境地图是未知的，这个问题是不适定的，因此，推导出一个易于处理的近似只占直接路径。特别是，我们考虑到相关的阻塞散射体在环境中出现的先验项的贝叶斯估计框架。针对相关阻塞条件下的贝叶斯多目标定位问题，提出了一种次优多项式时间算法，并通过仿真对其性能进行了评估。我们发现，当相关的阻塞是严重的，假设阻塞事件是独立的，并具有恒定的概率（如在以前的论文中所做的）导致检测性能差，更有可能发生误报比检测。
英文摘要：
This paper addresses the problem of localizing an unknown number of targets, all having the same radar signature, by a distributed MIMO radar consisting of single antenna transmitters and receivers that cannot determine directions of departure and arrival. Furthermore, we consider the presence of multipath propagation, and the possible (correlated) blocking of the direct paths (going from the transmitter and reflecting off a target to the receiver). In its most general form, this problem can be cast as a Bayesian estimation problem where every multipath component is accounted for. However, when the environment map is unknown, this problem is ill-posed and hence, a tractable approximation is derived where only direct paths are accounted for. In particular, we take into account the correlated blocking by scatterers in the environment which appears as a prior term in the Bayesian estimation framework. A sub-optimal polynomial-time algorithm to solve the Bayesian multi-target localization problem with correlated blocking is proposed and its performance is evaluated using simulations. We found that when correlated blocking is severe, assuming the blocking events to be independent and having constant probability (as was done in previous papers) resulted in poor detection performance, with false alarms more likely to occur than detections.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
