الفهرس 
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Abstract
Nowadays, many researchers pay much attention to Multilateration
localization process in air traffic control. This thesis deals with system
geometry effect on target localization process. Modifications are proposed
in both the sensors deployment network and the algorithm sequence used.
The work will be on a 3 steps: First, working on a small cell network
taking minimum number of sensors. Different optimal sensor deployment
methods will be examined and a pilot area will be chosen from a
Multilateration network at Cairo International Airport, 05L Runway (RW).
Simulation for a single aircraft is performed and the results are compared.
Second, the deployment method that gives the best results in a small cell
network will be considered and a new sensors deployment covering an area
larger than the existing one is proposed, trying to have the same
performance of the existing system with the advantage of decreasing the
number of sensors. Simulation is performed again for both the total
proposed network and the total existing Multilateration deployment
network and the results are compared. Finally, the proposed Multilateration
network is divided into 9 main clusters and 4 backup clusters instead of
using all sensors in localization process, and the cluster that has the least
PDOP (position dilution of precision) is selected. To enhance the
localization process only the cluster that has least PDOP < 21 is selected.
Otherwise, are rejected.