移动无线协作定位
Mobile Wireless Localization through Cooperation
摘要：
本文考虑N个移动节点在彼此附近一起移动，其初始姿态以及后续运动必须在M（>=3）个参考节点的协助下实时的被精确地跟踪。通过使相邻移动节点参与简单但有效的协作，并利用到达时间（TOA）信息（移动节点和参考节点之间）和接收信号强度（RSS）信息（移动节点之间），一种有效的新的定位策略，称为合作TOA和RSS（COTAR），开发。最佳的最大似然检测器首先制定，其次是推导出一个低复杂度的迭代方法，实际上可以实现Cramer-Rao下界。而不是使用简化的信道模型，在许多以前的研究中，一个复杂的和现实的信道模型，它可以有效地占的关键事实，即直接路径不一定是最强的path. Extensive模拟进行静态和移动设置，和各种实际问题和系统参数进行评估。结果表明，COTAR显着优于现有的策略，实现了定位精度只有零点几米，在清晰的环境和严重阻碍的环境中的几米。
英文摘要：
This paper considers N mobile nodes that move together in the vicinity of each other, whose initial poses as well as subsequent movements must be accurately tracked in real time with the assist of M(>=3) reference nodes. By engaging the neighboring mobile nodes in a simple but effective cooperation, and by exploiting both the time-of-arrival (TOA) information (between mobile nodes and reference nodes) and the received-signal-strength (RSS) information (between mobile nodes), an effective new localization strategy, termed cooperative TOA and RSS (COTAR), is developed. An optimal maximum likelihood detector is first formulated, followed by the derivation of a low-complexity iterative approach that can practically achieve the Cramer-Rao lower bound. Instead of using simplified channel models as in many previous studies, a sophisticated and realistic channel model is used, which can effectively account for the critical fact that the direct path is not necessarily the strongest path. Extensive simulations are conducted in static and mobile settings, and various practical issues and system parameters are evaluated. It is shown that COTAR significantly outperforms the existing strategies, achieving a localization accuracy of only a few tenths of a meter in clear environments and a couple of meters in heavily obstructed environments.
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。
