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Canceling stationary interference signals exploiting secondary data

Swärd, Johan LU and Jakobsson, Andreas LU (2014) 22nd European Signal Processing Conference - EUSIPCO 2014 In European Signal Processing Conference
Abstract
In this paper, we propose a novel interference cancellation method that exploits secondary data to estimate stationary interference components present in both the primary and the secondary data sets, thereby allowing for the removal of such interference from the data sets, even when these components share frequencies with the signal of interest. The algorithm estimates the present interference components one frequency at a time, thus enabling for a computationally efficient algorithm, that require only a limited amount of secondary data. Numerical examples using both simulated and measured data show that the proposed methods offers a notable gain in performance as compared to other interference cancellation methods.
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
Interference cancellation, Radio frequency spectroscopy, Signal of interest-free data.
in
European Signal Processing Conference
pages
5 pages
publisher
EURASIP
conference name
22nd European Signal Processing Conference - EUSIPCO 2014
external identifiers
  • scopus:84911896269
ISSN
2219-5491
language
English
LU publication?
yes
id
ac8ccd17-8935-439b-9f32-6ee388e5e732 (old id 4588720)
alternative location
http://www.eurasip.org/Proceedings/Eusipco/Eusipco2014/HTML/papers/1569925279.pdf
date added to LUP
2014-09-17 11:08:35
date last changed
2017-04-23 03:52:54
@inproceedings{ac8ccd17-8935-439b-9f32-6ee388e5e732,
  abstract     = {In this paper, we propose a novel interference cancellation method that exploits secondary data to estimate stationary interference components present in both the primary and the secondary data sets, thereby allowing for the removal of such interference from the data sets, even when these components share frequencies with the signal of interest. The algorithm estimates the present interference components one frequency at a time, thus enabling for a computationally efficient algorithm, that require only a limited amount of secondary data. Numerical examples using both simulated and measured data show that the proposed methods offers a notable gain in performance as compared to other interference cancellation methods.},
  author       = {Swärd, Johan and Jakobsson, Andreas},
  booktitle    = {European Signal Processing Conference},
  issn         = {2219-5491},
  keyword      = {Interference cancellation,Radio frequency spectroscopy,Signal of interest-free data.},
  language     = {eng},
  pages        = {5},
  publisher    = {EURASIP},
  title        = {Canceling stationary interference signals exploiting secondary data},
  year         = {2014},
}