我应该是开发一个室内定位系统的一些地方，所以我就开始通过收集有关如何开发这样的系统信息，我起来，现在的问题的是：什么控制定位和如何提高它的准确性？ 我发现不同的API，并用各种精度项目，例如：ericsson室内定位API可提供10米之内的精度，同时Qubulus API提供在4米的精确度，并且我遇到了一些项目，如iDOCNET声称以提供约1.2的准确度米。 所以，控制精度的室内导航系统的主要成分是什么？
Answer 1:
I'm working on a similar project and I tested a couple of the existing tools.
You can find some interesting info about IPS accuracy/precision/resolution here:
Stackoverflow thread on IPS resolution
Read the answer from Carol Politi of TRX Systems, in particular.
In short, the precision depends mainly on the type and density of the radio beacons used as reference signals (that can be GSM/WDCMA/UMTS network cells, wi-fi access points, Bluetooth dongles/beacons, etc.). As a consequence, to improve your system's precision you have to use all of the existing/available radio sources (phone cells AND wi-fi access points) AND, maybe, you have to add/install your own reference points (most likely wi-fi routers).
As long as I was able to see from my experiments so far, the actual precision you can expect from such radio-based systems is as following.
- Phone network: 1 to 2 Km
- Wi-Fi: 10 to 150 m (most often 40 - 150 m)
- Bluetooth: 4 to 10 m (maybe better with Nokia technology, that uses BT 3.0 and special beacons)
Using different technologies together just gives you the precision of the best one. For example, when you use cell phones AND wi-fi access points as reference points, you just get a resolution of 10 to 150 m. Nothing better.
For example/inspiration regarding wi-fi-fingerprint-based systems, look at: Redpin .
The only way to get room-level resolution, using ONLY radio signals (radio multilateration), seems to be Bluetooth. Nokia has developed something for this.
An effective way to improve the resolution of the whole system is to pair a radio-based positioning system (like wi-fi fingerprinting) with a map-based one (Google for "pathfinding": the same map navigation technology used in many 2D games).
This way, you enforce your whole system to pinpoint your user just where he/she can actually be (in a aisle, inside a room), escluding the not-walkable areas (like the inner part of a wall or a not-accessible part of the building). This makes your calculated navigation path much more sensible but in long corridors and aisles the resolution can still be quite bad (5 to 10 m or worse).
Another way is known as "sensor fusion": add to the radio-based system the position/movement knowledge that come from the accelerometer, compass and other sensors that are built-in in the user's mobile device.
Such hybrid systems are already available on the market and can give you a resolution up to 2 - 4 m (room-level, aisle-level) WITHOUT installing any auxiliary radio beacon (such systems are also known as "infrastructureless indoor positioning systems"). A few of these systems use a pathfinding algorithm as well.
For example/inspiration regarding hybrid systems, look at: Footpath .
For an even more inspiring project, see UnLoc by Duke University: UnLoc at Gizmag and UnLoc at Duke .
If you need an even better resolution, most likely you have to install your own Bluetooth beacons (and/or use Nokia technology).
文章来源: How to improve accuracy of indoor positioning?
