如何正确地对 GSM 蜂窝塔进行三角测量以获取位置? [英] How to properly triangulate GSM cell towers to get a location?

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本文介绍了如何正确地对 GSM 蜂窝塔进行三角测量以获取位置?的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!

问题描述

首先,我试图在 c# (.net 4) 中解决所有这些灾难,所以如果你想出一些代码来帮助我,我将不胜感激,但此时真的任何事情都会有所帮助.

我有一个设备只能获取 GSM 小区信息(顺便通过 AT+KCELL 命令),所以我有一个关于小区塔的值集合(每个都有 LAC,MCC、MNC、小区 ID、信号强度和第一时间提前).因此,我认为我处于一个能够提出某种经度和纬度坐标的好地方(尽管不准确,但是,嗯).这是我寻求帮助的地方,因为现在我的小脑袋很困惑......

我可以看到各种提供单元代码解析的服务(Google、Open Cell ID 等),它们将 LAC、MCC 等作为参数并返回坐标.因此,我认为他们返回的内容将是我通过的给定塔的坐标.所以在我的情况下,我可以发送我拥有的所有 LAC 等,并取回一组经度和纬度.太棒了,但这不是我的设备所在的地方.现在我想我需要做一些三角测量,这就是我缺乏知识伤害我的地方.

那么到目前为止我是对的吗?假设我是,我该如何执行这个计算(那里有什么东西可以告诉我如何处理所有这些数字,或者更好的是,我可以参考一些开源库并将所有这些东西输入以获得一些明智的东西)?

我假设我需要使用时间提前来计算出与手机信号塔的大致距离(可能以某种方式使用信号强度),但我该怎么办?正如你所知道的 - 我在这里超出了我的深度!

例如,这是我可能从前面提到的 AT 命令得到的东西:

5,74,33,32f210,157e,8101,50,0,79,3,32f210,157e,80f7,37,64,5,32f210,157e,810b,37,55,32,32f210,157e,9d3,27,41,33,32f210,157e,edf8,15

分解并解析我会得到的(我希望我能正确解析 - 当然我的解析例程中可能存在错误,但它看起来很合理):

单元格数:5

单元格 1

LAC: 5502跨国公司:1中冶:232小区编号:33025信号:80ARFCN: 74基础知识:33时间提前:0经度:14.2565389纬度:48.2248439

细胞 2

LAC: 5502跨国公司:1中冶:232小区编号:33015信号:55ARFCN: 79基础知识:3经度:14.2637736纬度:48.2331576

细胞 3

LAC: 5502跨国公司:1中冶:232小区编号:33035信号:55ARFCN: 64基础知识:5经度:14.2488966纬度:48.232513

细胞 4

LAC: 5502跨国公司:1中冶:232小区编号:2515信号:39ARFCN: 55基础知识:32经度:14.2488163纬度:48.2277972

细胞 5

LAC: 5502跨国公司:1中冶:232小区编号:60920信号:21ARFCN: 41基础知识:33经度:14.2647612纬度:48.2299558

那么,有了所有这些信息,我该如何以最准确的方式找到我的实际位置?

解决方案

我可以帮助你一些理论.

三角测量基本上是找到3个圆的交点.

每个移动塔都是一个圆的中心.圆圈的大小与该塔的信号强度有关.

3个圆圈重叠的地方就是用户所在的地方.

您可以按如下方式进行一些非常基本的三角测量:

<上一页>3 塔在tx1,ty1TX2,TY2tx3,ty3信号强度为 s1、s2、s3我们计算每个信号的权重.本质上是一个从 0 到 1 的数字,每个塔的权重总和为 1.加权信号 w1、w2、w3 其中:w1 = s1/(s1+s2+s3)w2 = s2/(s1+s2+s3)w3 = s3/(s1+s2+s3)用户将在x:(w1 * tx1 + w2 * tx2+ w3 * tx3)y: (w1 * ty1 + w2 * ty2+ w3 * ty3)

这是一个使用您问题中的值的工作示例:

<上一页>s1 = 80s2 = 55s3 = 55s4 = 55s5 = 21w1 = 80/( 80 + 55 + 55 + 55 + 21 )w2 = 55/( 80 + 55 + 55 + 55 + 21 )w3 = 55/( 80 + 55 + 55 + 55 + 21 )w4 = 55/( 80 + 55 + 55 + 55 + 21 )w5 = 21/( 80 + 55 + 55 + 55 + 21 )w1 = 0.3007519w2 = 0.2067669w3 = 0.2067669w4 = 0.2067669w5 = 0.07894741.经度:14.25653891. 纬度:48.22484392.经度:14.26377362. 纬度:48.23315763.经度:14.24889663. 纬度:48.2325134.经度:14.24881634. 纬度:48.22779725.经度:14.26476125. 纬度:48.2299558位置经度 =14.2565389 * 0.3007519 +14.2637736 * 0.2067669 +14.2488966 * 0.2067669 +14.2488163 * 0.2067669 +14.2647612 * 0.0789474位置纬度:=48.2248439 * 0.3007519 +48.2331576 * 0.2067669 +48.232513 * 0.2067669 +48.2277972 * 0.2067669 +48.2299558 * 0.0789474结果经度:14.255507结果纬度:48.2291628

First of all, I am trying to do all this disaster in c# (.net 4) so if you come up with some code to help me that would be appreciated but really anything would help at this point.

I have a situation where I have a device that can only get GSM Cell information (incidentally via the AT+KCELL command) so I have a collection of values about cell towers (each has LAC, MCC, MNC, Cell ID, Signal Strength and the first Timing Advance). I think, therefore, I am in a good place to be able to come up with some sort of longitude and latitude coordinate (albeit inaccurate, but, well meh). This is where I am reaching out for help because now my little brain is confused...

I can see various services that provide cell code resolution (Google, Open Cell ID, etc) and they take LAC,MCC etc as arguments and return a coordinate. I figure that what they return would, therefore, be the coordinate of the given tower I pass in. So in my case I could send off all the LACs etc that I have and get back a collection of longitude and latitudes. Brilliant, but that is not where my device is. Now I think I need to do some kind of triangulation and this is where my lack of knowledge is hurting me.

So am I right so far? Assuming I am, how do I perform this calculation (is there something out there that will tell me what to do with all these numbers or, even better, some open source library I can reference and feed all this stuff into to get something sensible)?

I'm assuming that I would need to use the timing advance to work out some approximate distance from a cell tower (maybe using the signal strength somehow) but what do I have to do? As you can tell - I am way out of my depth here!

For example, this is something I might get back from the aforementioned AT command:

5,74,33,32f210,157e,8101,50,0,79,3,32f210,157e,80f7,37,64,5,32f210,157e,810b,37,55,32,32f210,157e,9d3,27,41,33,32f210,157e,edf8,15

breaking it up and parsing it I would get (I hope I parse this right - there is a chance there is a bug in my parsing routine of course but it looks reasonable):

Number of cells: 5

Cell 1

LAC: 5502
MNC: 1
MCC: 232
Cell ID: 33025
Signal: 80
ARFCN: 74
BSIC: 33
Timing advance: 0
Longitude: 14.2565389
Latitude: 48.2248439

Cell 2

LAC: 5502
MNC: 1
MCC: 232
Cell ID: 33015
Signal: 55
ARFCN: 79
BSIC: 3
Longitude: 14.2637736
Latitude: 48.2331576

Cell 3

LAC: 5502
MNC: 1
MCC: 232
Cell ID: 33035
Signal: 55
ARFCN: 64
BSIC: 5
Longitude: 14.2488966
Latitude: 48.232513

Cell 4

LAC: 5502
MNC: 1
MCC: 232
Cell ID: 2515
Signal: 39
ARFCN: 55
BSIC: 32
Longitude: 14.2488163
Latitude: 48.2277972

Cell 5

LAC: 5502
MNC: 1
MCC: 232
Cell ID: 60920
Signal: 21
ARFCN: 41
BSIC: 33
Longitude: 14.2647612
Latitude: 48.2299558

So with all that information how do I find, in the most accurate way, where I actually am?

解决方案

I can help you with a bit of the theory.

Triangulation is basically finding the intersection point of 3 circles.

Each mobile tower is the center of a circle. The size of the circle is relative to the signal strength of that tower.

The place where the 3 circles overlap is where the user is.

You can do some very basic triangulation as follows:

3 Towers at 
 tx1,ty1 
 tx2,ty2 
 tx3,ty3

With signal strengths s1, s2, s3

We calculate the weight of each signal. Essentially a number from 0 to 1 for each tower where the sum of the weights adds up to 1.

Weighted signal w1, w2, w3 where:
 w1 = s1/(s1+s2+s3)
 w2 = s2/(s1+s2+s3)
 w3 = s3/(s1+s2+s3)


User will be at
x: (w1 * tx1 + w2 * tx2+ w3 * tx3)
y: (w1 * ty1 + w2 * ty2+ w3 * ty3)

Here is a working example using the values from your question:


s1 = 80
s2 = 55
s3 = 55
s4 = 55
s5 = 21

w1 = 80 / ( 80 + 55 + 55 + 55 + 21 ) 
w2 = 55 / ( 80 + 55 + 55 + 55 + 21 ) 
w3 = 55 / ( 80 + 55 + 55 + 55 + 21 ) 
w4 = 55 / ( 80 + 55 + 55 + 55 + 21 ) 
w5 = 21 / ( 80 + 55 + 55 + 55 + 21 ) 

w1 = 0.3007519
w2 = 0.2067669
w3 = 0.2067669
w4 = 0.2067669
w5 = 0.0789474

1. Longitude: 14.2565389
1. Latitude: 48.2248439

2. Longitude: 14.2637736
2. Latitude: 48.2331576

3. Longitude: 14.2488966
3. Latitude: 48.232513

4. Longitude: 14.2488163
4. Latitude: 48.2277972


5. Longitude: 14.2647612
5. Latitude: 48.2299558


Location Longitude = 
 14.2565389 * 0.3007519 + 
 14.2637736 * 0.2067669 + 
 14.2488966 * 0.2067669 +
 14.2488163 * 0.2067669 +
 14.2647612 * 0.0789474

Location Latitude: = 
 48.2248439 * 0.3007519 + 
 48.2331576 * 0.2067669 + 
 48.232513 * 0.2067669 +
 48.2277972 * 0.2067669 +
 48.2299558 * 0.0789474

Result Longitude: 14.255507
Result Latitude: 48.2291628

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