Indoor Localization using Signals of Opportunity

Title

Indoor Localization using Signals of Opportunity

 Author

Barak, R.K.
Van Der Cammen, M.
Zhang, H.M.

Contributor

Martinez Castaneda, J.A. (mentor)
Van der Veen, A.J. (mentor)

Faculty

Electrical Engineering, Mathematics and Computer Science

 Department

Electrical Engineering

 Date

2013-10-04

 Abstract

This thesis proposes an algorithm to solve the issue of indoor localization using a source, reference receiver and mobile receiver placed in a convex room. The goal is determination of the position of the mobile receiver. The proposed algorithm consists of two localization techniques known from scientific literature: Time Difference of Arrival(TDOA) and Fingerprinting. In this work the choice was made to focus on two following kinds of signals: white noise and human speech. The proposed algorithm has been tested by means of various variables and these experiments have led to the following conclusions: the TDOA part of the algorithm strongly depends on the synchronization between the receivers while the Fingerprinting performs in an optimal manner when a white noise signal is being used as a source. The Fingerprinting part of the proposed algorithm contains four different ways to compare between the audio signal of the database and the audio signal of a real world situation. It appears that the cross - correlation in time domain yields the best results.

 To reference this document use:

http://resolver.tudelft.nl/uuid:56fd25df-836e-4433-810e-857b92d60522

 Embargo date

2013-08-21

 Part of collection

Student theses

 Document type

bachelor thesis

 Rights

(c) 2013 Barak, R.K.
Van Der Cammen, M.
Zhang, H.M.
Files
PDF thesis.pdf 553.71 KB
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