Signal processing for wireless location

手持式无线接收器的位置估计传统上涉及GPS和基于地面的无线通信信号的组合使用。户外定位服务和应用程序的普遍使用证明了这一点非常成功。然而，室内无线定位还没有达到相应的成熟程度，因此使用仅限于深奥的应用，通常是学术上的好奇心。这样做的原因本质上是为了实际使用，定位精度必须明显优于户外应用。弱信号水平和多径传播会导致显著的位置估计误差。本研究的目的是开发针对手持移动接收机平台的专用信号处理算法。这些算法将特别利用移动接收器天线的物理运动，这是其典型用法的一部分。这项提议的研究涉及开发一种移动手机的最佳处理算法，这种算法可以在收集信号数据时利用天线的任何运动。移动的范围可以小到手机方向的变化，大到移动用户走路或在移动的车辆上的移动。研究将涉及分析开发，模拟和测量传播信号。增强的处理最终将提供更强大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.