Canceling stationary interference signals exploiting secondary data
Swärd, Johan LU and Jakobsson, Andreas LU
(2014)
22nd European Signal Processing Conference - EUSIPCO 2014
- 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:
https://lup.lub.lu.se/record/4588720
- author
- Swärd, Johan
LU
and Jakobsson, Andreas
LU
- organization
- publishing date
- 2014
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- Interference cancellation, Radio frequency spectroscopy, Signal of interest-free data.
- host publication
- European Signal Processing Conference
- pages
- 5 pages
- publisher
- EURASIP
- conference name
- 22nd European Signal Processing Conference - EUSIPCO 2014
- conference location
- Lissabon, Portugal
- conference dates
- 2014-09-01 - 2014-09-05
- 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
- 2016-04-01 13:37:21
- date last changed
- 2022-01-27 20:09:40
@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}},
keywords = {{Interference cancellation; Radio frequency spectroscopy; Signal of interest-free data.}},
language = {{eng}},
publisher = {{EURASIP}},
title = {{Canceling stationary interference signals exploiting secondary data}},
url = {{https://lup.lub.lu.se/search/files/3483440/4588724.pdf}},
year = {{2014}},
}