Design and performance evaluation of smart antenna systems for mobile communications

Other Title(s)

تصميم و تقييم أداء أنظمة الهوائيات الذكية للاتصالات المتنقلة (الخليوية)‎

Dissertant

al-Majali, Iqab Ratib

Thesis advisor

al-Jabburi, Wagaa F. Muhammad

Comitee Members

al-Jaafirah, Yusuf Ghazi
al-Sayab, Suud Abd al-Aziz
Isa, Haytham Muhammad

University

Mutah University

Faculty

Faculty of Engineering

Department

Electrical Engineering Department

University Country

Jordan

Degree

Master

Degree Date

2006

English Abstract

The smart antenna is set to play a significant role in the development of next-generation wireless communication systems.

This thesis will provide the concept on smart antenna system by developing special adaptive antenna arrays and studying their performances.

Typical adaptive algorithms attempt to exploit some characteristics of a desired mobile user's signal incident upon an array of antenna elements to form a blind estimate of the user's signal ; this estimate is used to update weights added to each element of the array in order to perform beam steering.

These typical adaptive algorithms do not utilize knowledge of the spreading sequences used in a CDMA system, which separate users occupying the same frequency and time channels.

However, this knowledge is exploited by Multimarket Dispread Respreads Arrays (MTDRA).

The two MTDRA algorithms (smart antenna systems) that will be developed and studied are : 1) Least Squares Multi-target Despread Respread Array (LSMTDRA).

2) Least Squares Constant Modulus Multi-target Dispread Respread Array (LSCMMTDRA).

Generally, when mobile user's operate in CDMA mobile environment two particular characteristics are exploited : 1) Minimizing the Mean Square Error (MSE) between the array output and the blind estimate of the desired user.

2) Restoring the constant modulus to the output of the adaptive array corrupted by noise in the channel.

The objectives of this thesis are to study capabilities of the two algorithms and then develop a comparison between these two algorithms for a stationary, additive white Gaussian noise (AWGN) channel in a CDMA mobile environment using MATLAB computer simulations for the following metrics : 1) Analyzing Array Factor Patterns (Beam patterns) 2) Studying Bit Error Rate performance (BER).

Main Subjects

Telecommunications Engineering

Topics

No. of Pages

103

Table of Contents

Table of contents.

Abstract.

Chapter one : Introduction (smart antennas fundamentals).

Chapter two : Fundamentals of arrays and adaptive arrays.

Chapter three : Overview of adaptive beamforming algorithms.

Chapter four : Multi-target spreading adaptive algorithms.

Chapter five : Simulation results and conclusions.

References.

American Psychological Association (APA)

al-Majali, Iqab Ratib. (2006). Design and performance evaluation of smart antenna systems for mobile communications. (Master's theses Theses and Dissertations Master). Mutah University, Jordan
https://search.emarefa.net/detail/BIM-304479

Modern Language Association (MLA)

al-Majali, Iqab Ratib. Design and performance evaluation of smart antenna systems for mobile communications. (Master's theses Theses and Dissertations Master). Mutah University. (2006).
https://search.emarefa.net/detail/BIM-304479

American Medical Association (AMA)

al-Majali, Iqab Ratib. (2006). Design and performance evaluation of smart antenna systems for mobile communications. (Master's theses Theses and Dissertations Master). Mutah University, Jordan
https://search.emarefa.net/detail/BIM-304479

Language

English

Data Type

Arab Theses

Record ID

BIM-304479