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On the Performance of Random Antenna Arrays for Direction of Arrival Estimation

Yaqoob, Muhammad Atif LU ; Mannesson, Anders LU ; Bernhardsson, Bo LU orcid ; Butt, Naveed LU and Tufvesson, Fredrik LU orcid (2014) IEEE International Conference on Communications (ICC), 2014 p.193-199
Abstract
A single antenna based virtual antenna array at the receiver can be used to find direction of different incoming radio signals impinging at the receiver. In this paper, we investigate the performance of random 3D virtual antenna arrays for DoA estimation. We have computed a Cramer-Rao Lower Bound (CRLB) for DoA estimation if the true antenna positions are not known, but these are estimated with an uncertainty. Position displacement is estimated with an extended Kalman filter (EKF)

by using simulated data samples of acceleration and rotation rate which are corrupted by stochastic errors, such as, white Gaussian

noise and bias drift. Furthermore, the effect of position estimation

error on the DoA estimation... (More)
A single antenna based virtual antenna array at the receiver can be used to find direction of different incoming radio signals impinging at the receiver. In this paper, we investigate the performance of random 3D virtual antenna arrays for DoA estimation. We have computed a Cramer-Rao Lower Bound (CRLB) for DoA estimation if the true antenna positions are not known, but these are estimated with an uncertainty. Position displacement is estimated with an extended Kalman filter (EKF)

by using simulated data samples of acceleration and rotation rate which are corrupted by stochastic errors, such as, white Gaussian

noise and bias drift. Furthermore, the effect of position estimation

error on the DoA estimation performance is evaluated using the CRLB. The results show that the number of useful elements in the antenna array is limited, because the standard deviation of the position estimation error grows over time. (Less)
Please use this url to cite or link to this publication:
author
; ; ; and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
Virtual Antenna Array, Direction of Arrival, Inertial Measurement Unit, Extended Kalman Filter, CRLB
host publication
[Host publication title missing]
editor
Dardari, Davide
pages
7 pages
publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
conference name
IEEE International Conference on Communications (ICC), 2014
conference location
Sydney, Australia
conference dates
2014-06-10 - 2014-06-14
external identifiers
  • wos:000346123100033
  • scopus:84906748892
ISSN
2164-7038
language
English
LU publication?
yes
id
bdc1a258-6681-4efb-9638-9949f35cb9f2 (old id 4360267)
date added to LUP
2016-04-01 13:16:29
date last changed
2022-02-04 03:20:29
@inproceedings{bdc1a258-6681-4efb-9638-9949f35cb9f2,
  abstract     = {{A single antenna based virtual antenna array at the receiver can be used to find direction of different incoming radio signals impinging at the receiver. In this paper, we investigate the performance of random 3D virtual antenna arrays for DoA estimation. We have computed a Cramer-Rao Lower Bound (CRLB) for DoA estimation if the true antenna positions are not known, but these are estimated with an uncertainty. Position displacement is estimated with an extended Kalman filter (EKF)<br/><br>
by using simulated data samples of acceleration and rotation rate which are corrupted by stochastic errors, such as, white Gaussian<br/><br>
noise and bias drift. Furthermore, the effect of position estimation<br/><br>
error on the DoA estimation performance is evaluated using the CRLB. The results show that the number of useful elements in the antenna array is limited, because the standard deviation of the position estimation error grows over time.}},
  author       = {{Yaqoob, Muhammad Atif and Mannesson, Anders and Bernhardsson, Bo and Butt, Naveed and Tufvesson, Fredrik}},
  booktitle    = {{[Host publication title missing]}},
  editor       = {{Dardari, Davide}},
  issn         = {{2164-7038}},
  keywords     = {{Virtual Antenna Array; Direction of Arrival; Inertial Measurement Unit; Extended Kalman Filter; CRLB}},
  language     = {{eng}},
  pages        = {{193--199}},
  publisher    = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
  title        = {{On the Performance of Random Antenna Arrays for Direction of Arrival Estimation}},
  url          = {{https://lup.lub.lu.se/search/files/3270089/4360269.pdf}},
  year         = {{2014}},
}