A wide range of services and applications become possible when accurate position
information for a radio terminal is available. These include: location-based services;
navigation; safety and security applications. The commercial, industrial and military value
of radio-location is such that considerable research effort has been directed towards
developing related technologies, using satellite, cellular or local area network
infrastructures or stand-alone equipment.
This work studies and investigates two location techniques. The first one presents an
implementation scheme for a wideband transmission and direction finding system using
OFDM multi-carrier communications systems. This approach takes advantage of delay
discrimination to improve angle-of-arrival estimation in a multipath channel with high
levels of additive white Gaussian noise. A new methodology is interpreted over the multi carrier modulation scheme in which the simulation results of the estimated channel
improves the performance of OFDM signal by mitigating the effect of frequency offset
synchronization to give error-free data at the receiver, good angle of arrival accuracy and
improved SNR performance. The full system simulation to explore optimum values such
as channel estimation and AoA including the antenna array model and prove the
operational performance of the OFDM system as implemented in MATLAB.
The second technique proposes a low cost-effective method of tracking and monitoring
objects (examples: patient, device, medicine, document) by employing passive radio
frequency identification (RFID) systems. A multi-tag, (totalling fifty-six tags) with known
ID values are attached to the whole patient’s body to achieve better tracking and
monitoring precision and higher accuracy. Several tests with different positions and
movements are implemented on six patients. The aim is to be able to track the patient if
he/she is walking or sitting; therefore, the tests considered six possible movements for
the patient including walking, standing, sitting, resting, laying on the floor and laying on
the bed, these placements are important to monitor the status of the patient like if he
collapsed and fall on the ground so that the help will be quick. The collected data from
the RFID Reader in terms of Time Stamp, RSS, Tag ID, and a number of channels are
processed using the MATLAB code.
| Identifer | oai:union.ndltd.org:BRADFORD/oai:bradscholars.brad.ac.uk:10454/18185 |
| Date | January 2018 |
| Creators | Shuaieb, Wafa S.A. |
| Contributors | Abd-Alhameed, Raed, Jones, Steven M.R. |
| Publisher | University of Bradford, Faculty of Engineering and Informatics |
| Source Sets | Bradford Scholars |
| Language | English |
| Detected Language | English |
| Type | Thesis, doctoral, PhD |
| Rights | <a rel="license" href="http://creativecommons.org/licenses/by-nc-nd/3.0/"><img alt="Creative Commons License" style="border-width:0" src="http://i.creativecommons.org/l/by-nc-nd/3.0/88x31.png" /></a><br />The University of Bradford theses are licenced under a <a rel="license" href="http://creativecommons.org/licenses/by-nc-nd/3.0/">Creative Commons Licence</a>. |
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