A Hardware-Oriented Hybrid TDOA/AOA Mobile Positioning Estimation Scheme
2015
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Advisor: Omar (Supervisor) Ramadan
Abstract (EN)
Location based services have fascinated many researchers and initiatives. One of the important characteristics of location based service is positioning technology. In view of a broader and more complex field like universal computing, position is the vital section. This work emphasizes on a new algorithm that can be used to estimate the position location of the target efficiently. Wireless LAN is one of the utmost prevalent schemes that are used for positioning for indoor locations and civic places. The angle of arrival and time difference of arrival are the primary position location techniques that are studied in this thesis and a novel based algorithm is developed by combining these two techniques. This new algorithm proposed is a low cost, high speed and high accuracy method. The new algorithm works in two cases ( , and the computational cost and error for each angle are approximately possess same amount. The proposed algorithm utilizes simple addition, subtraction and shift operators and it totally avoids trigonometric functions or complex calculation which makes speed higher for the algorithm. The total cost that is used in implementing the algorithm into FPGA is cost effective and it is superior when compared to angle of arrival and time difference of arrival techniques. The comparison with respect to cost and errors in estimating the location are done for the proposed algorithm is done. MATLAB 7 is the used for simulation and analysis of the proposed algorithm. The simulation results depict and demonstrate that the proposed algorithm is superior to angle of arrival and time difference of arrival methods. Keywords: Wireless communication, Signal processing, Time difference of arrival, Angle of arrival, Hybrid positioning.
Author
Saif Abdullah Enad
How to Cite
Saif Abdullah Enad (Master Thesis). A Hardware-Oriented Hybrid TDOA/AOA Mobile Positioning Estimation Scheme, 2015, Eastern Mediterranean University, Department of Computer Engineering.
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