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Ray simulations for evaluating different methods used to locate mobiles in cities

机译:用于评估不同方法的光线模拟用于在城市中定位手机的不同方法

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Mobile location techniques for cellular environments are of current interest due to the great number of new value-added services that can be provided using location technology, as well as the Federal Communications Commission's (FCC) requirement that all cellular service providers must be able to determine the location of a 911 caller with a radius of 100 m, 67% of the time (Federal Communications Commission CC Docket No. 94102, July 1996). Current mobile location technologies, such as the Global Positioning System (GPS), angle of arrival (AOA), uplink-time difference of arrival (UTDOA), and enhanced observation timed difference (EOTD) have difficulties in urban environments. The signature method uses a predetermined reference table of path gains between each of many possible mobile locations and several surrounding base stations. The path gain signatures contain information of the shadowing of the signals by the buildings surrounding the mobile. To the extent that this shadowing is unique to each mobile location, the shadowing information can serve to locate the mobile. This paper compares the time difference of arrival (TDOA) method and the path gain signature method to locate mobiles in a large urban environment.
机译:蜂窝环境的移动定位技术由于可以使用位置技术提供的大量新增值服务,以及联邦通信委员会(FCC)要求所有蜂窝服务提供商必须能够确定911个呼叫者的位置,半径为100米,67%的时间(联邦通信委员会CC Docket No.94102,1996年7月)。当前的移动位置技术,例如全球定位系统(GPS),到达角度(AOA),到达的上行时间差(UTDOA),以及增强的观察定时差(EOTD)在城市环境中具有困难。签名方法在许多可能的移动位置中的每一个和几个周围基站中的每一个之间使用预定的路径增益表。路径增益签名包含由移动围绕移动的建筑物的信号阴影的信息。在这种阴影对每个移动位置具有独特的程度上,阴影信息可以用于定位移动设备。本文比较了到达(TDOA)方法的时间差和路径增益签名方法在大城市环境中定位手机。

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