Direction of arrival estimation using genetic

Dissertant

Nuri, Ali Abd al-Ilah

University

University of Technology

Faculty

-

Department

Electronic Engineering Department

University Country

Iraq

Degree

Master

Degree Date

2008

English Abstract

Estimation of Direction Of Arrival (DOA) angles of incident signals on Uniform Linear Array (ULA) of sensors (antennas) plays a great role in many fields, such as, Direction Finders (DF), radar, sonar, electronic surveillance, acoustics, and mobile communication systems. In this thesis, two techniques of DOA estimation are proposed, the first technique is called Multiple Signal Classification (MUSIC) and the second technique is called Maximum Likelihood (ML).

These techniques are also named high resolution (or super-resolution) techniques in limiting the received signals parameters.

Based on the concepts borrowed from nature and biological genetics, a new approach is introduced, this approach is called Genetic Algorithm (CA).

A GA is developed for the extraction of the DOA angles.

The GA is a stochastic search technique using probability to find an optimal solution.

This technique has been very popular for design purposes because it has high efficiency, robustness, and reliability in results to process problems that involve myriad of design parameters and poorly behaved m vast search spaces; therefore, UA seems to be well suited to solve DOA problems, Many tests are accomplished to study the performance of these techniques to estimate DOA.

These tests include, the kind of incident signals on an antenna array (coherent or non-coherent emitter sources), effect of increasing number of sensors, effect of closely spaced emitter sources, effect of signal to noise ratio, and effect of increasing number of snapshots.

The computational comparison between the DOA's techniques and GA is also presented in this thesis besides measuring the computing time required to implement simulations results.

The GA is executed 100 times and the results are statistically analyzed in order to conclude on the algorithms accuracy and reliability by using a Matlab 7.4 program.

Main Subjects

Electronic engineering

Topics

• Antennas

• APA
• MLA
• AMA

Language

English

Data Type

Arab Theses

Record ID

BIM-305461