iPhone GPS性能 [英] iPhone GPS Performance

问题描述

我正在编写一款依赖于获取设备位置的iPhone应用程序。管理层已经要求我提供有关GPS在城市（高层建筑）和建筑物内的表现的数据。

I'm writing an iPhone App that relies on getting the device location. Management have tasked me with producing data on how well the GPS performs in cities (tall buildings) and within buildings.

任何开发人员都有关于GPS可靠性和秋季的数据回到手机/ wifi塔三角测量？

Do any developers have data on reliability of GPS and the fall back to cell/wifi tower triangulation?

管理友好的信息是最好的，但我可以翻译的原始数据也没问题。

Management-friendly info would be best but raw data that I can translate would also be fine.

推荐答案

要确定物体的位置，GPS系统必须从至少三颗卫星接收无线电信号。

To determine an object's location, the GPS system must receive a radio signal from at least three satellites.

GPS准确度受多个因素影响，包括卫星
位置，无线电信号中的噪音，
大气条件，信号天然
障碍。噪音可以
造成1到10米
之间的误差，以及来自
接收器附近的静态或
干扰或同一
频率的结果。云和其他
大气现象，以及物体
这样的山脉或建筑物之间的卫星和接收器之间的b
也会产生误差，有时高达30美元b $ b米。

GPS accuracy is affected by a number of factors, including satellite positions, noise in the radio signal, atmospheric conditions, and natural barriers to the signal. Noise can create an error between 1 to 10 meters and results from static or interference from something near the receiver or something on the same frequency. Clouds and other atmospheric phenomena, and objects such a mountains or buildings between the satellite and the receiver can also produce error, sometimes up to 30 meters.

来自这里：

城市
峡谷的多径和掩蔽效应会降低GPS的准确性
范围并增加在密集的城市地区运营的接收器
的几何
稀释精度。在
的情况下，GPS应用程序为车辆设计了
，这些
现象对精度的影响可以降低，
由于用户的速度
贡献平均
multipath并且由于使用了map
匹配。但行人不会因同样的情况而受益，b $ b和基于GPS的定位为市区密集的行程中的b $ b b $ b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b在市中心
城市区域内通过GPS
接收器集成的各种大型
市场终端进行的测试显示95％的循环
错误概率（CEP）性能
介于50和50之间100米。

Multipath and masking effects of urban canyons degrade the accuracy of GPS ranging and increase geometric dilution of precision in receivers that operate in dense urban areas. In the case of GPS applications designed for vehicles, the effects of these phenomena on accuracy can be reduced, thanks to the velocity of the user that contributes in averaging multipath and thanks to the use of map matching. But pedestrians do not benefit from the same circumstances, and GPS-based positioning for pedestrians in dense urban areas suffers from inadequate accuracy and integrity. Tests performed in downtown urban areas over a variety of mass market terminals with integrated GPS receivers show 95 percent circular error probable (CEP) performances between 50 and 100 meters.

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