Signal processing for wireless location

手持无线接收器的位置的估计传统上涉及GPS和基于地面的无线通信信号的组合的使用。这已经是非常成功的，如基于室外位置的服务和应用的普遍使用所证明的。然而，室内无线定位并没有见证一个相称的成熟程度，因此使用已被限制到深奥的应用通常是学术好奇心。这样做的原因基本上是为了实际使用，定位精度必须明显优于室外应用。弱信号电平和多径传播加剧了这一问题，从而导致显著的位置估计误差。本研究的目的是专门的信号处理算法的手持移动的接收机平台的发展。 这些算法将特别地利用作为其典型使用的一部分的移动的接收机的天线的物理运动。 拟议的研究涉及的移动的手机，可以利用任何运动的天线的信号数据正在收集的最佳处理算法的发展。 如果移动的用户正在步行或在移动的车辆中，则运动的范围可以从小的手持机定向改变到大的移动。 研究将涉及传播信号的分析开发、模拟和测量。 增强的处理将最终提供所需的更鲁棒和更准确的定位精度。

The estimation of the location of a handheld wireless receiver has traditionally involved the usage of a combination of GPS and terrestrial based wireless communicaton signals. This has been highly successful as evidenced by the ubiquitous usage of outdoor location based services and applications. However, indoor wireless location has not witnessed a commensurate degree of maturity and hence usage has been limited to esoteric applications usually of academic curiosity. The reason for this is essentially that to be of practical use, the location accuracy has to be significantly better than for outdoor applications. This is exasperated by weak signal levels and multipath propagation which results in significant location estimation errors. The objective of this research is the development of specialized signal processing algorithms targeted for the handheld mobile receiver platform. These algorithms will specifically take advantage of the physical motion of the antenna of the mobile receiver that is part of its typical usage. The proposed research involves the development of optimum processing algorithms for a mobile handset that can take advantage of any motion of the antenna as the signal data is being collected. Motion can range from small handset orientation changes to large movements if the mobile user is walking or in a moving vehicle. Research will involve analytical development, simulation and measurements with propagated signals. The enhanced processing will ultimately provide more robust and accurate location accuracy as desired.