联系方式

  • QQ:99515681
  • 邮箱:99515681@qq.com
  • 工作时间:8:00-21:00
  • 微信:codinghelp

您当前位置:首页 >> Python编程Python编程

日期:2019-04-26 11:02

Task: Indoor Positioning with WiFi Signals

You are hired by a company to design an indoor localization system using WiFi data. The

scenario has five locations as depicted below.

Figure 1: Localization scenario

There are three WiFi access points in the area: WiFi A, B, and C (but you don’t know their

location). The only information you have is their received signal strength (RSS), which was

collected in the following manner:

- A person went to Location 1 with a smartphone and performed fifteen scans. Each scan

contains the RSS of the three access points. The person then went to Locations 2 to 5

and repeated the process, i.e. the person performed fifteen scans at each location.

The collected data is in the attached table.

Your task. With the provided information, write a program where the input is a new scan and

the output is the probability of being on each location. For example, if we provide you with an

input <rssA

, rssB

, rssC>=<-79, -88, -71>, you will need to provide as output a vector <p1

, p2

, p3

,

p4

, p5>, where pi

is the probability of being in location i. Try to get the best localization

accuracy, this is real data in a real location!

Guidelines

- To solve the problem, you can use any programming language (or combination of

programming languages for visualization, data processing, etc). Show off your

programming skills! Send us precise instructions to run your code on our laptops (the

code should run on any OS: MAC, Windows or Linux). If you develop a Web App, make

sure it runs on Chrome or Firefox. Your code should show an initial GUI to enter a new

scan and as a final outcome, a GUI showing the location probabilities of each cell.

Deliverables

- Code with instructions to run it.

- A report (maximum 1 page), explaining your method, your results and citing any sources

you build upon (code and/or research papers).


版权所有:编程辅导网 2021 All Rights Reserved 联系方式:QQ:99515681 微信:codinghelp 电子信箱:99515681@qq.com
免责声明:本站部分内容从网络整理而来,只供参考!如有版权问题可联系本站删除。 站长地图

python代写
微信客服:codinghelp