A Study of Narrowband Angle of Arrival Estimation Algorithms

الموضوعات

علوم تطبيقية وتكنولوجية

الملخص

Angle of arrival estimation describes any method of locating a signal’s source, relative to aparticular listening location. Array antenna involves the array processing to manipulate thesignals induced on various antenna elements in such way that the main beam directingtowards the desired signal and forming the nulls towards the interferers. Such array antennasare widely used in wireless communications as they can increase the channel capacity andcoverage range. Due to relatively simple implementation, Uniform Linear Array (ULA) is a veryuseful and popular geometry for array signal processing. In Uniform Linear Array antenna, tolocate the desired signal, various Angle of arrival (AOA) estimation algorithms are used. Angleof arrival (AOA) estimation algorithms is the method used to estimate the direction of arrivalangle of several signals impinging on a sensor array, which plays an important role in arraysignal processing. The requirement for AOA estimation arises in different areas of signalprocessing applications including radar, sonar and wireless communications. Theconventional method for estimating a signal’s direction of arrival is based on physicallysteering an antenna and taking note of the direction that yields the highest response. AOAestimation methods such as Barttlet algorithm and Capon algorithm which discussed in thisthesis may malfunction and perform poorly, these techniques leaves much to be desiredMATLAB simulation for conventional method showed there poor performance compared tosubspace-based method. On the other hand the most popular high resolution subspacebasedmethod of AOA estimation algorithms are discussed and compared also in this thesis.The first algorithm is MUltiple SIgnal Classification (MUSIC), the second algorithm is RootMUltiple SIgnal Classification (Root MUSIC) it is an extension to MUSIC to improve theperformance of the MUSIC algorithm and the third algorithm is Estimation of SignalParameters by Rotational Invariance Techniques (ESPRIT). All algorithm can be used toestimate the AOAs of multiple signals. A model of MUSIC, a model of Root MUSIC and amodel of ESPRIT are made in MATLAB to analyse the performance, and the effects ofdifferent test scenarios on the AOA estimation. All algorithms are compared by means ofthese test scenarios. The performance of the three algorithms analyzed by means of a set oftest scenarios. MATLAB simulation results verified that subspace-based techniqueoutperform the conventional method. The proposed algorithms estimate AOA for onedimensioncase only but they could be extended to the two-dimension case also. Techniquecould be also extended to wideband signal environment instead of Narrowband signalenvironment.

روابط وملفات

التعريف والنوع

رقم الوثيقة

f6258981-3a41-4244-9fcc-2843aebe81c4

رقم العقد

0

نوع الوسائط

Crawler

نوع المحتوى

الرسائل العلمية

صيغة المصدر

رسائل ماجيستير

نوع الملف

pdf text

أسماء الملفات

72953_1.pdf

بيانات النشر

ألقاب المؤلفين

[{"name_ar":"Ahmed Awad Babikier Awad","title_ar":"اشراف","title_en":"Supervision"},{"name_ar":"Magdi Bakir Mohomed Amien","title_ar":"اشراف","title_en":"Supervision"},{"name_ar":"Omaima Abdelhamid Osman Ahmed Asmally","title_ar":"اعداد","title_en":"Preparation"}]

اللغة

English

المصدر والدورية

اسم المصدر

A Study of Narrowband Angle of Arrival Estimation Algorithms

المحتوى والصفحات

عدد الصفحات

0

إشراف وإعداد

الإشراف

Ahmed Awad Babikier Awad, Magdi Bakir Mohomed Amien

الإعداد

Omaima Abdelhamid Osman Ahmed Asmally

الاقتباسات الببليوغرافية