Student:	Meltem TEMİZKAN
Supervisor:	Asst. Prof. Dr. Oğuzhan ÇAKIR
Department:	Elektrik-Elektronik Müh.
Institution:	Graduate School of Natural and Applied Sciences
University:	Karadeniz Technical University Turkey

Title of the Thesis:	OPTIMIZATION OF RECEIVER ARRAY WITH INTUITIVE ALGORITHMS IN TRANSMITTER LOCALIZATION USING TIME DIFFERENCE OF ARRIVALS
Level:	M.Sc.
Acceptance Date:	16/11/2021
Number of Pages:	63
Registration Number:	i3952

Summary:

The location of an electromagnetic, seismic, or acoustic source can be determined by

synchronized receivers placed spatially apart from each other. Since the signal emitted from the

source reaches the synchronized receivers at different times, the time difference of arrivals

(TDOAs) arises. By using time differences formed on the receiving side, position lines are defined,

and the source is positioned in the center of these position lines. The error in positioning with the

TDOA depends on the transmitter-receiver geometry and the variance of the TDOA estimation

error. Positioning performance is significantly improved when positioning is performed with a

well-optimized receiver array for the same target coordinates and TDOA estimation error variance.

In this masters thesis, receiver array direction angle optimization was performed with particle

swarm optimization (PSO) and krill herd optimization (KHO). In the proposed method, the

direction angle of the equiangular circular receiver array and the two-dimensional receiver array is

optimized by taking the Cramer-Rao lower bound (CRLB) as a fitness function in the KHO and

PSO algorithms, and a significant reduction in square positioning error is achieved. In addition,

KHO and PSO methods were compared with each other in terms of convergence speed and with

CRLB in terms of positioning accuracy. KHO algorithm was used in for the first time in this

masters thesis the optimization of the receiver array direction angle in position detection with

TDOA.