Source Localization Using Virtual Antenna Arrays

Muhammad Atif Yaqoob; Anders Mannesson; Naveed R. Butt; Fredrik Tufvesson

doi:10.1109/ICL-GNSS.2015.7217142

Source Localization Using Virtual Antenna Arrays

Muhammad Atif Yaqoob, Anders Mannesson, Naveed R. Butt, Fredrik Tufvesson

Research output: Chapter in Book/Report/Conference proceeding › Paper in conference proceeding › peer-review

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Abstract

Using antenna arrays for direction of arrival (DoA) estimation and source localization is a well-researched topic. In this paper, we analyze virtual antenna arrays for DoA estimation where the antenna array geometry is acquired using data from a low-cost inertial measurement unit (IMU). Performance evaluation of an unaided inertial navigation system with respect to individual IMU sensor noise parameters is provided using a state space based extended Kalman filter. Secondly, using Monte Carlo simulations, DoA estimation performance of random 3-D antenna arrays is evaluated by computing Cramér-Rao lower bound values for a single plane wave source located in the far field of the array. Results in the paper suggest that larger antenna arrays can provide significant gain in DoA estimation accuracy, but, noise in the rate gyroscope measurements proves to be a limiting factor when making virtual antenna arrays for DoA estimation and source localization using single antenna devices.

Original language	English
Title of host publication	2015 International Conference on Localization and GNSS (ICL-GNSS)
Editors	Jari Nurmi
Publisher	IEEE - Institute of Electrical and Electronics Engineers Inc.
Number of pages	6
ISBN (Electronic)	978-1-4799-9858-6
DOIs	https://doi.org/10.1109/ICL-GNSS.2015.7217142
Publication status	Published - 2015
Event	2015 International Conference on Localization and GNSS (ICL-GNSS) - Gothenburg Duration: 2015 Jun 22 → …

Conference

Conference	2015 International Conference on Localization and GNSS (ICL-GNSS)
Period	2015/06/22 → …

Subject classification (UKÄ)

Electrical Engineering, Electronic Engineering, Information Engineering

Free keywords

Direction of Arrival
Angle of Arrival
Unaided Inertial Navigation System
Localization
Inertial Measurement Unit
Virtual Antenna Array

Access to Document

10.1109/ICL-GNSS.2015.7217142

draft_v1.2

1 Licentiate Thesis

Inertial Measurement Unit based Virtual Antenna Arrays - DoA Estimation and Positioning in Wireless Networks
Yaqoob, M. A., 2016 Apr 27, Lund: Lund University. 155 p.
Research output: Thesis › Licentiate Thesis

Open Access
File

1 Finished

Joint Positioning and Radio Channel Estimation
Bernhardsson, B. (Researcher) & Mannesson, A. (Researcher)
2014/01/01 → 2018/12/31
Project: Research

Cite this

@inproceedings{a8b47246bafb4a429405efaffc0cefd6,

title = "Source Localization Using Virtual Antenna Arrays",

abstract = "Using antenna arrays for direction of arrival (DoA) estimation and source localization is a well-researched topic. In this paper, we analyze virtual antenna arrays for DoA estimation where the antenna array geometry is acquired using data from a low-cost inertial measurement unit (IMU). Performance evaluation of an unaided inertial navigation system with respect to individual IMU sensor noise parameters is provided using a state space based extended Kalman filter. Secondly, using Monte Carlo simulations, DoA estimation performance of random 3-D antenna arrays is evaluated by computing Cram{\'e}r-Rao lower bound values for a single plane wave source located in the far field of the array. Results in the paper suggest that larger antenna arrays can provide significant gain in DoA estimation accuracy, but, noise in the rate gyroscope measurements proves to be a limiting factor when making virtual antenna arrays for DoA estimation and source localization using single antenna devices.",

keywords = "Direction of Arrival, Angle of Arrival, Unaided Inertial Navigation System, Localization, Inertial Measurement Unit, Virtual Antenna Array",

author = "Yaqoob, {Muhammad Atif} and Anders Mannesson and Butt, {Naveed R.} and Fredrik Tufvesson",

year = "2015",

doi = "10.1109/ICL-GNSS.2015.7217142",

language = "English",

editor = "Jari Nurmi",

booktitle = "2015 International Conference on Localization and GNSS (ICL-GNSS)",

publisher = "IEEE - Institute of Electrical and Electronics Engineers Inc.",

address = "United States",

note = "2015 International Conference on Localization and GNSS (ICL-GNSS) ; Conference date: 22-06-2015",

}

Yaqoob, MA, Mannesson, A, Butt, NR & Tufvesson, F 2015, Source Localization Using Virtual Antenna Arrays. in J Nurmi (ed.), 2015 International Conference on Localization and GNSS (ICL-GNSS). IEEE - Institute of Electrical and Electronics Engineers Inc., 2015 International Conference on Localization and GNSS (ICL-GNSS), 2015/06/22. https://doi.org/10.1109/ICL-GNSS.2015.7217142

Source Localization Using Virtual Antenna Arrays. / Yaqoob, Muhammad Atif; Mannesson, Anders; Butt, Naveed R. et al.
2015 International Conference on Localization and GNSS (ICL-GNSS). ed. / Jari Nurmi. IEEE - Institute of Electrical and Electronics Engineers Inc., 2015.

Research output: Chapter in Book/Report/Conference proceeding › Paper in conference proceeding › peer-review

TY - GEN

T1 - Source Localization Using Virtual Antenna Arrays

AU - Yaqoob, Muhammad Atif

AU - Mannesson, Anders

AU - Butt, Naveed R.

AU - Tufvesson, Fredrik

PY - 2015

Y1 - 2015

N2 - Using antenna arrays for direction of arrival (DoA) estimation and source localization is a well-researched topic. In this paper, we analyze virtual antenna arrays for DoA estimation where the antenna array geometry is acquired using data from a low-cost inertial measurement unit (IMU). Performance evaluation of an unaided inertial navigation system with respect to individual IMU sensor noise parameters is provided using a state space based extended Kalman filter. Secondly, using Monte Carlo simulations, DoA estimation performance of random 3-D antenna arrays is evaluated by computing Cramér-Rao lower bound values for a single plane wave source located in the far field of the array. Results in the paper suggest that larger antenna arrays can provide significant gain in DoA estimation accuracy, but, noise in the rate gyroscope measurements proves to be a limiting factor when making virtual antenna arrays for DoA estimation and source localization using single antenna devices.

AB - Using antenna arrays for direction of arrival (DoA) estimation and source localization is a well-researched topic. In this paper, we analyze virtual antenna arrays for DoA estimation where the antenna array geometry is acquired using data from a low-cost inertial measurement unit (IMU). Performance evaluation of an unaided inertial navigation system with respect to individual IMU sensor noise parameters is provided using a state space based extended Kalman filter. Secondly, using Monte Carlo simulations, DoA estimation performance of random 3-D antenna arrays is evaluated by computing Cramér-Rao lower bound values for a single plane wave source located in the far field of the array. Results in the paper suggest that larger antenna arrays can provide significant gain in DoA estimation accuracy, but, noise in the rate gyroscope measurements proves to be a limiting factor when making virtual antenna arrays for DoA estimation and source localization using single antenna devices.

KW - Direction of Arrival

KW - Angle of Arrival

KW - Unaided Inertial Navigation System

KW - Localization

KW - Inertial Measurement Unit

KW - Virtual Antenna Array

U2 - 10.1109/ICL-GNSS.2015.7217142

DO - 10.1109/ICL-GNSS.2015.7217142

M3 - Paper in conference proceeding

BT - 2015 International Conference on Localization and GNSS (ICL-GNSS)

A2 - Nurmi, Jari

PB - IEEE - Institute of Electrical and Electronics Engineers Inc.

T2 - 2015 International Conference on Localization and GNSS (ICL-GNSS)

Y2 - 22 June 2015

ER -

Source Localization Using Virtual Antenna Arrays

Abstract

Conference

Subject classification (UKÄ)

Free keywords

Access to Document

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Research output

Inertial Measurement Unit based Virtual Antenna Arrays - DoA Estimation and Positioning in Wireless Networks

Projects

Joint Positioning and Radio Channel Estimation

Cite this