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Implementing the WinIPS algorithm with the IEEE 802.11mc facilities

Open position. Implementing the WinIPS algorithm with the IEEE 802.11mc facilities. RSSI Fingerprinting, Map-Less Positioning, WiFi, Enhanced services.

Description

Nowadays, indoor positioning is a still an open issue. The main reason, though not the only one, is that location indoors require accurate measurements, i.e. positioning errors of 1 to 2 meters in average. There are technologies, such as those based in ultra wideband (UWB) that are able to provide positions with only centimeters of uncertainty. However, those technologies require custom network and user equipment to work, which often make them costly and hard to deploy.

Lots of efforts have been addressed to use communication networks for location purposes. However, the problem then is that positioning errors rise (noticeably) over the 2 meters. 

RSSI fingerprinting is a well-known solution for indoor positioning based on building a signal strength map at known reference emplacements (i.e. the fingerprinting database), which is further used to compare live measurements to those previously recorded and infer the right location the station is.

In the recent past, a novel algorithm named WinIPS was presented. It required a firmware modification in the access points so that they can be able to measure the RSSI from other access points at known locations. With the introduction of the IEEE 802.11mc amendment in the 2016 revision of the IEEE 802.11 protocol, this can be achieved by means of a FTM procedure.

This project is aimed at providing an implementation of the WinIPS algorithm based on the IEEE 802.11mc facilities.

Objectives

The goal of this project is to analyze the performance of the WinIPS algorithm when using the IEEE 802.11mc facilities. This goal would involve the following stages:

  1. Implementing the WinIPS algorithm in a AP-like device (i.e. laptop).
  2. Analyzing the performance of the 802.11mc-based passive TDOA and contrast the results with those reported in the original paper.

Period

Start date: --
End date: --
Status: Open

Funding

No funding is provided for this project.

Participants

Supervisor: Israel Martin Escalona (GRXCA)

Student: To be assigned.

Further information

No additional information is provided.