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Location measurement acquisition optimization with Monte Carlo simulation

机译:蒙特卡洛模拟的位置测量采集优化

摘要

The present subject matter discloses a method for estimating dilution of precision (DOP) across a service area. A Monte Carlo simulation is used to determine the DOP across a service area. Random points are selected across a service area and as well as the radio transmitters who signals are capable of being received at the random points are determined. Using the network topology of radio transmitters, a DOP is calculated for each of the random points. DOP is modeled for the service area as a function of the calculated DOP for each of the random points. The modeled DOP is used to determined the measurement accuracy required for subsequent location requests.
机译:本主题公开了一种用于估计整个服务区域上的精度稀释(DOP)的方法。蒙特卡洛模拟用于确定服务区域的DOP。在服务区域中选择随机点,并确定能够在随机点处接收信号的无线电发射机。使用无线电发射机的网络拓扑,为每个随机点计算DOP。对于服务区域,将DOP建模为每个随机点计算出的DOP的函数。建模的DOP用于确定后续位置请求所需的测量精度。

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