NAVAL POSTGRADUATE SCHOOL Monterey, California

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LOCALIZATION OF WIRELESS COMMUNICATION EMITTERS USING TIME DIFFERENCE OF ARRIVAL

(TDOA) METHODS IN NOISY CHANNELS

by

Spiros D. Mantis

June 2001

Thesis Advisor: Ralph D. Hippenstiel Co-Advisors: David C. Jenn Tri T. Ha

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Title and Subtitle LOCALIZATION OF WIRELESS COMMUNICATIONEMITTERS USING TIME DIFFERENCE OF ARRIVAL(TDOA) METHODS IN NOISY CHANNELS

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Performing Organization Name(s) and Address(es) Naval Postgraduate School Monterey, CA 93943-5138

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LOCALIZATION OF WIRELESS COMMUNICATION EMITTERS USING TIME DIFFERENCE OF ARRIVAL (TDOA) METHODS IN NOISY CHANNELS

Spiros, D, Mantis-Lieutenant, Hellenic Navy B.S., Hellenic Naval Academy, 1991

Master of Science in Electrical Engineering and Master of Science in Systems EngineeringJune 2001

Advisor: Ralph, Hippenstiel, Department of Electrical and Computer Engineering Co-Advisor: David, C., Jenn, Department of Electrical and Computer Engineering

Co-Advisor: Tri, T., Ha, Department of Electrical and Computer Engineering

The ability to provide position information of wireless emitters comprises a very important communication tool and has extremely valuable applications to military as well as civilian life. GSM is the most popular method of modulation adopted around the world, for mobile telephony. This thesis is focused on the Time Difference Of Arrival (TDOA) estimation, applied to GSM signals, in noisy channels. Improvements in denoising, in conjunction with wavelet processing, are proposed for estimating the TDOA of signals received at two spatially separated sensors. Wavelet denoising based on a modified maximum likelihood method and a higher order moment method is proposed, to improve the performance. A numerical evaluation of the methods, when unequal SNR conditions prevail, is presented. The performance of the proposed denoising methods in a jamming environment is also addressed. Simple excision schemes to improve the performance when jamming is present, are evaluated. Simulation results indicate good performance of the methods and improved estimates relative to the ones obtained using no denoising. Jamming presence degrades the performance but still the extracted estimates are improved.

DoD KEY TECHNOLOGY AREA: Electronics,Electronics Warfare. KEYWORDS: Global System for Mobile (GSM),Time Difference Of Arrival (TDOA),Wavelet Denoising,Jamming,Emitters Localization.

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2. REPORT DATE June 2001

3. REPORT TYPE AND DATES COVERED Masters Thesis

4. TITLE AND SUBTITLE: Localization of wireless communication emitters using Time Difference Of Arrival (TDOA) methods in noisy channels

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7. PERFORMING ORGANIZATION NAME(S) AND ADDRESS(ES) Naval Postgraduate School Monterey, CA 93943-5000

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13. ABSTRACT (maximum 200 words) The ability to provide position information of wireless emitters comprises a very important communication tool and has extremely valuable applications to military as well as civilian life. GSM is the most popular method of modulation adopted around the world, for mobile telephony. This thesis is focused on the Time Difference Of Arrival (TDOA) estimation, applied to GSM signals, in noisy channels. Improvements in denoising, in conjunction with wavelet processing, are proposed for estimating the TDOA of signals received at two spatially separated sensors. Wavelet denoising based on a modified maximum likelihood method and a higher order moment method is proposed, to improve the performance. A numerical evaluation of the methods, when unequal SNR conditions prevail, is presented. The performance of the proposed denoising methods in a jamming environment is also addressed. Simple excision schemes to improve the performance when jamming is present, are evaluated. Simulation results indicate good performance of the methods and improved estimates relative to the ones obtained using no denoising. Jamming presence degrades the performance but still the extracted estimates are improved.

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111

14. SUBJECT TERMS Global System for Mobile, Time Difference of Arrival, Wavelet Denoising, Jamming, Emitter Localization

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Approved for public release; distribution is unlimited

LOCALIZATION OF WIRELESS COMMUNICATION EMITTERS USING TIME DIFFERENCE OF ARRIVAL (TDOA) METHODS IN NOISY CHANNELS

Spiros D. Mantis

Lieutenant, Hellenic Navy B.S., Hellenic Naval Academy, 1991

Submitted in partial fulfillment of the requirements for the degrees of

MASTER OF SCIENCE IN ELECTRICAL ENGINEERING

MASTER OF SCIENCE IN SYSTEMS ENGINEERING

from the

NAVAL POSTGRADUATE SCHOOL June 2001

Author: ___________________________________________

Spiros D. Mantis

Approved by: ___________________________________________ Ralph D. Hippenstiel, Thesis Advisor

___________________________________________

David C. Jenn, Co-Advisor

___________________________________________ Tri T. Ha, Co-Advisor

___________________________________________

Dan Boger, Chairman Information Warfare Academic Group

___________________________________________

Jeffrey B. Knorr, Chairman Department of Electrical and Computer Engineering

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ABSTRACT

The ability to provide position information of wireless emitters comprises a very

important communication tool and has extremely valuable applications to military as well

as civilian life. GSM is the most popular method of modulation adopted around the

world, for mobile telephony. This thesis is focused on the Time Difference Of Arrival

(TDOA) estimation, applied to GSM signals, in noisy channels. Improvements in

denoising, in conjunction with wavelet processing, are proposed for estimating the

TDOA of signals received at two spatially separated sensors. Wavelet denoising based

on a modified maximum likelihood method and a higher order moment method is

proposed, to improve the performance. A numerical evaluation of the methods, when

unequal SNR conditions prevail, is presented. The performance of the proposed

denoising methods in a jamming environment is also addressed. Simple excision

schemes to improve the performance when jamming is present, are evaluated. Simulation

results indicate good performance of the methods and improved estimates relative to the

ones obtained using no denoising. Jamming presence degrades the performance but still

the extracted estimates are improved.

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TABLE OF CONTENTS

I. INTRODUCTION....................................................................................................... 1 A. BACKGROUND.............................................................................................. 1 B. OBJECTIVE.................................................................................................... 2 C. THE