Positioning systems are increasingly considered as an essential part of WLANs. One remarks nowadays the complementarity of this research topic along with the cognitive radios. In this context, applications of theories and concepts of positioning are numerous. In contrast, their implementations and integrations are less undertaken. During this project, the activities carried out involved the identification and design of multiple techniques of indoor localization as well as their implementation and testing on a set of software defined radios.
The approach taken during this project is structured as follows: general characteristics of indoor positioning are studied and existing systems and platforms deployed for this purpose are scrutinized. Given a certain set of metrics of performance, we have completed previous work. Thus, an existent solution of indoor localization complying with WLAN 802.11b and implemented on obsolete former versions of USRP software defined radios is upgraded. Compatibility with the latest versions of GNU Radio libraries is achieved. Furthermore, new techniques to improve the estimated time delays and further reduce the error on the location estimate are implemented and tested. After, we show that, using a mechanism of software time stamping, it is not possible to achieve acceptable indoor localization accuracy. A technique of time stamping within the FPGA is designed. We show that the detection of a known instant of the received signal by the correlation with the model described by 802.11b achieves a resolution of 10ns. Moreover, we integrate a new method of enhancing the RSS estimate. In fact, an average accuracy of 5 meters is carried out. Thereafter we propose the use of a dynamic model to derive distances from the proposed powers observed. This method is a novel SDR approach for indoor localization based on RSS.
| Date | 8 Jul 2014 |
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| Original language | French |
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| Awarding Institution | - École de technologie supérieure
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| Supervisor | François Gagnon (Supervisor) & Ammar B. Kouki (Co-supervisor) |
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El Ouni, N. A. (Author),
Gagnon (Supervisor) &
Kouki (Co-supervisor),
8 Jul 2014Student thesis: Master's thesis › Master in Engineering: Engineering