Canceling stationary interference signals exploiting secondary data

Canceling stationary interference signals exploiting secondary data. Swärd, J. & Jakobsson, A. In 2014 22nd European Signal Processing Conference (EUSIPCO), pages 1014-1018, Sep., 2014.

Paper abstract bibtex

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.

@InProceedings{6952342,
  author = {J. Swärd and A. Jakobsson},
  booktitle = {2014 22nd European Signal Processing Conference (EUSIPCO)},
  title = {Canceling stationary interference signals exploiting secondary data},
  year = {2014},
  pages = {1014-1018},
  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.},
  keywords = {interference (signal);interference suppression;stationary interference signal cancellation method;stationary interference component estimation;secondary data sets;primary data sets;interference removal;signal of interest;Frequency measurement;Interference cancellation;Noise;Data models;Noise measurement;Signal processing algorithms;Interference cancellation;Radio frequency spectroscopy;Signal of interest-free data},
  issn = {2076-1465},
  month = {Sep.},
  url = {https://www.eurasip.org/proceedings/eusipco/eusipco2014/html/papers/1569925279.pdf},
}

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