Two-Dimensional Signal Localization Algorithm for Spectrum Sensing
Summary :
The localization algorithm based on the double-thresholding (LAD) method was originally proposed for detecting and localizing narrowband (NB) signals with respect to the search bandwidth. Its weakness is that the localized signal is often split into several parts, especially when the signal-to-noise ratio (SNR) is low. This may lead to the illusion of unoccupied frequencies in the middle of the signals. In this paper, an extension of the LAD method, namely the two-dimensional LAD (2-D LAD), is proposed to solve that problem. In addition to offering low computational complexity, the proposed method is able to operate at lower SNR values than the original 1-D LAD method.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E93-B No.11 pp.3129-3136
- Publication Date
- 2010/11/01
- Publicized
- Online ISSN
- 1745-1345
- DOI
- 10.1587/transcom.E93.B.3129
- Type of Manuscript
- PAPER
- Category
- Terrestrial Wireless Communication/Broadcasting Technologies
Authors
Keyword
Latest Issue
Copyrights notice of machine-translated contents
The copyright of the original papers published on this site belongs to IEICE. Unauthorized use of the original or translated papers is prohibited. See IEICE Provisions on Copyright for details.
Cite this
Copy
Johanna VARTIAINEN, Janne LEHTOMAKI, Harri SAARNISAARI, Markku Juntti , Kenta UMEBAYASHI, "Two-Dimensional Signal Localization Algorithm for Spectrum Sensing" in IEICE TRANSACTIONS on Communications,
vol. E93-B, no. 11, pp. 3129-3136, November 2010, doi: 10.1587/transcom.E93.B.3129.
Abstract: The localization algorithm based on the double-thresholding (LAD) method was originally proposed for detecting and localizing narrowband (NB) signals with respect to the search bandwidth. Its weakness is that the localized signal is often split into several parts, especially when the signal-to-noise ratio (SNR) is low. This may lead to the illusion of unoccupied frequencies in the middle of the signals. In this paper, an extension of the LAD method, namely the two-dimensional LAD (2-D LAD), is proposed to solve that problem. In addition to offering low computational complexity, the proposed method is able to operate at lower SNR values than the original 1-D LAD method.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.E93.B.3129/_p
Copy
@ARTICLE{e93-b_11_3129,
author={Johanna VARTIAINEN, Janne LEHTOMAKI, Harri SAARNISAARI, Markku Juntti , Kenta UMEBAYASHI, },
journal={IEICE TRANSACTIONS on Communications},
title={Two-Dimensional Signal Localization Algorithm for Spectrum Sensing},
year={2010},
volume={E93-B},
number={11},
pages={3129-3136},
abstract={The localization algorithm based on the double-thresholding (LAD) method was originally proposed for detecting and localizing narrowband (NB) signals with respect to the search bandwidth. Its weakness is that the localized signal is often split into several parts, especially when the signal-to-noise ratio (SNR) is low. This may lead to the illusion of unoccupied frequencies in the middle of the signals. In this paper, an extension of the LAD method, namely the two-dimensional LAD (2-D LAD), is proposed to solve that problem. In addition to offering low computational complexity, the proposed method is able to operate at lower SNR values than the original 1-D LAD method.},
keywords={},
doi={10.1587/transcom.E93.B.3129},
ISSN={1745-1345},
month={November},}
Copy
TY - JOUR
TI - Two-Dimensional Signal Localization Algorithm for Spectrum Sensing
T2 - IEICE TRANSACTIONS on Communications
SP - 3129
EP - 3136
AU - Johanna VARTIAINEN
AU - Janne LEHTOMAKI
AU - Harri SAARNISAARI
AU - Markku Juntti
AU - Kenta UMEBAYASHI
PY - 2010
DO - 10.1587/transcom.E93.B.3129
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E93-B
IS - 11
JA - IEICE TRANSACTIONS on Communications
Y1 - November 2010
AB - The localization algorithm based on the double-thresholding (LAD) method was originally proposed for detecting and localizing narrowband (NB) signals with respect to the search bandwidth. Its weakness is that the localized signal is often split into several parts, especially when the signal-to-noise ratio (SNR) is low. This may lead to the illusion of unoccupied frequencies in the middle of the signals. In this paper, an extension of the LAD method, namely the two-dimensional LAD (2-D LAD), is proposed to solve that problem. In addition to offering low computational complexity, the proposed method is able to operate at lower SNR values than the original 1-D LAD method.
ER -
English
