Direction of arrival estimation algorithms for leaky-wave antennas and antenna arrays: Dissertation

Research output: ThesisDissertationCollection of Articles

Abstract

The focus of this thesis is to study direction of arrival (DoA) estimation algorithms for reconfigurable leaky-wave antennas and advanced antenna arrays. Directional antennas can greatly improve the spectrum reuse, interference avoidance, and object and people localization. DoA estimation algorithms have also been shown to be useful for applications such as positioning for user tracking and location-based services in wireless local area networks (WLANs).
The main goal is to develop novel DoA estimation algorithms for both advanced antenna arrays and composite right/left-handed (CRLH) leaky-wave antennas (LWAs). The thesis introduces novel modifications to existing DoA estimation algorithms and shows how these can be modified for real-time DoA estimation using both antenna types. Three modified DoA estimation algorithms for CRLH-LWAs are presented: 1) modified multiple signal classification (MUSIC), 2) power pattern cross-correlation (PPCC), and 3) adjacent power pattern ratio (APPR).
Additionally, the APPR algorithm is also applied to advanced antenna arrays.
The thesis also presents improvements to the modified MUSIC and APPR algorithms. The complexity of the algorithms is reduced by selecting a smaller number of received signals from different directions. The results show that the selection of the radiation patterns is very important and that the proposed algorithms can successfully estimate the DoA, even in a real-world environment. Based on the results, this thesis provides a good starting point for future research of DoA estimation algorithms to enhance the performance of future generation wireless networks and the accuracy of localization.
Original languageEnglish
QualificationDoctor Degree
Awarding Institution
  • University of Oulu
Supervisors/Advisors
  • Mämmelä, Aarne, Supervisor
  • Iinatti, Jari, Supervisor, External person
Award date29 Nov 2018
Publisher
Print ISBNs978-952-62-2073-4
Electronic ISBNs978-952-62-2074-1
Publication statusPublished - 29 Nov 2018
MoE publication typeG5 Doctoral dissertation (article)

Fingerprint

Direction of arrival
Antenna arrays
Antennas
Location based services
Composite materials
Wireless local area networks (WLAN)
Wireless networks

Keywords

  • adjacent power pattern ratio (APPR) algorithm
  • composite right/left-handed leaky-wave antenna (CRLH-LWA)
  • direction of arrival (DoA) estimation algorithms
  • directional antennas
  • multiple signal classification (MUSIC) algorithm
  • power pattern cross-correlation (PPCC) algorithm
  • APPR-algoritmi
  • MUSIC-algoritmi
  • PPCC-algoritmi
  • suunnanestimointialgoritmit
  • suuntaavat antennit
  • vuotoaaltoantenni (CRLH-LWA)

Cite this

@phdthesis{a7b9cb6059c844d9bcaf4e65b82f8e4a,
title = "Direction of arrival estimation algorithms for leaky-wave antennas and antenna arrays: Dissertation",
abstract = "The focus of this thesis is to study direction of arrival (DoA) estimation algorithms for reconfigurable leaky-wave antennas and advanced antenna arrays. Directional antennas can greatly improve the spectrum reuse, interference avoidance, and object and people localization. DoA estimation algorithms have also been shown to be useful for applications such as positioning for user tracking and location-based services in wireless local area networks (WLANs).The main goal is to develop novel DoA estimation algorithms for both advanced antenna arrays and composite right/left-handed (CRLH) leaky-wave antennas (LWAs). The thesis introduces novel modifications to existing DoA estimation algorithms and shows how these can be modified for real-time DoA estimation using both antenna types. Three modified DoA estimation algorithms for CRLH-LWAs are presented: 1) modified multiple signal classification (MUSIC), 2) power pattern cross-correlation (PPCC), and 3) adjacent power pattern ratio (APPR).Additionally, the APPR algorithm is also applied to advanced antenna arrays.The thesis also presents improvements to the modified MUSIC and APPR algorithms. The complexity of the algorithms is reduced by selecting a smaller number of received signals from different directions. The results show that the selection of the radiation patterns is very important and that the proposed algorithms can successfully estimate the DoA, even in a real-world environment. Based on the results, this thesis provides a good starting point for future research of DoA estimation algorithms to enhance the performance of future generation wireless networks and the accuracy of localization.",
keywords = "adjacent power pattern ratio (APPR) algorithm, composite right/left-handed leaky-wave antenna (CRLH-LWA), direction of arrival (DoA) estimation algorithms, directional antennas, multiple signal classification (MUSIC) algorithm, power pattern cross-correlation (PPCC) algorithm, APPR-algoritmi, MUSIC-algoritmi, PPCC-algoritmi, suunnanestimointialgoritmit, suuntaavat antennit, vuotoaaltoantenni (CRLH-LWA)",
author = "Henna Paaso",
year = "2018",
month = "11",
day = "29",
language = "English",
isbn = "978-952-62-2073-4",
series = "Acta Universitatis Ouluensis C: Technica",
publisher = "University of Oulu",
number = "679",
address = "Finland",
school = "University of Oulu",

}

Direction of arrival estimation algorithms for leaky-wave antennas and antenna arrays : Dissertation. / Paaso, Henna.

University of Oulu, 2018. 132 p.

Research output: ThesisDissertationCollection of Articles

TY - THES

T1 - Direction of arrival estimation algorithms for leaky-wave antennas and antenna arrays

T2 - Dissertation

AU - Paaso, Henna

PY - 2018/11/29

Y1 - 2018/11/29

N2 - The focus of this thesis is to study direction of arrival (DoA) estimation algorithms for reconfigurable leaky-wave antennas and advanced antenna arrays. Directional antennas can greatly improve the spectrum reuse, interference avoidance, and object and people localization. DoA estimation algorithms have also been shown to be useful for applications such as positioning for user tracking and location-based services in wireless local area networks (WLANs).The main goal is to develop novel DoA estimation algorithms for both advanced antenna arrays and composite right/left-handed (CRLH) leaky-wave antennas (LWAs). The thesis introduces novel modifications to existing DoA estimation algorithms and shows how these can be modified for real-time DoA estimation using both antenna types. Three modified DoA estimation algorithms for CRLH-LWAs are presented: 1) modified multiple signal classification (MUSIC), 2) power pattern cross-correlation (PPCC), and 3) adjacent power pattern ratio (APPR).Additionally, the APPR algorithm is also applied to advanced antenna arrays.The thesis also presents improvements to the modified MUSIC and APPR algorithms. The complexity of the algorithms is reduced by selecting a smaller number of received signals from different directions. The results show that the selection of the radiation patterns is very important and that the proposed algorithms can successfully estimate the DoA, even in a real-world environment. Based on the results, this thesis provides a good starting point for future research of DoA estimation algorithms to enhance the performance of future generation wireless networks and the accuracy of localization.

AB - The focus of this thesis is to study direction of arrival (DoA) estimation algorithms for reconfigurable leaky-wave antennas and advanced antenna arrays. Directional antennas can greatly improve the spectrum reuse, interference avoidance, and object and people localization. DoA estimation algorithms have also been shown to be useful for applications such as positioning for user tracking and location-based services in wireless local area networks (WLANs).The main goal is to develop novel DoA estimation algorithms for both advanced antenna arrays and composite right/left-handed (CRLH) leaky-wave antennas (LWAs). The thesis introduces novel modifications to existing DoA estimation algorithms and shows how these can be modified for real-time DoA estimation using both antenna types. Three modified DoA estimation algorithms for CRLH-LWAs are presented: 1) modified multiple signal classification (MUSIC), 2) power pattern cross-correlation (PPCC), and 3) adjacent power pattern ratio (APPR).Additionally, the APPR algorithm is also applied to advanced antenna arrays.The thesis also presents improvements to the modified MUSIC and APPR algorithms. The complexity of the algorithms is reduced by selecting a smaller number of received signals from different directions. The results show that the selection of the radiation patterns is very important and that the proposed algorithms can successfully estimate the DoA, even in a real-world environment. Based on the results, this thesis provides a good starting point for future research of DoA estimation algorithms to enhance the performance of future generation wireless networks and the accuracy of localization.

KW - adjacent power pattern ratio (APPR) algorithm

KW - composite right/left-handed leaky-wave antenna (CRLH-LWA)

KW - direction of arrival (DoA) estimation algorithms

KW - directional antennas

KW - multiple signal classification (MUSIC) algorithm

KW - power pattern cross-correlation (PPCC) algorithm

KW - APPR-algoritmi

KW - MUSIC-algoritmi

KW - PPCC-algoritmi

KW - suunnanestimointialgoritmit

KW - suuntaavat antennit

KW - vuotoaaltoantenni (CRLH-LWA)

M3 - Dissertation

SN - 978-952-62-2073-4

T3 - Acta Universitatis Ouluensis C: Technica

PB - University of Oulu

ER -