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Two-Dimensional Signal Localization Algorithm for Spectrum Sensing

Johanna VARTIAINEN, Janne LEHTOMÄKI, Harri SAARNISAARI, Markku JUNTTI, Kenta UMEBAYASHI

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Johanna VARTIAINEN
Centre for Wireless Communications (CWC), University of Oulu
Janne LEHTOMÄKI
Centre for Wireless Communications (CWC), University of Oulu
Harri SAARNISAARI
Centre for Wireless Communications (CWC), University of Oulu
Markku JUNTTI
Centre for Wireless Communications (CWC), University of Oulu
Kenta UMEBAYASHI
Tokyo University of Agriculture and Technology (TUAT)

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Keywords:narrowband signals,signal sensing

JOURNALRESTRICTED ACCESS

2010 Volume E93.BIssue 11Pages 3129-3136

DOIhttps://doi.org/10.1587/transcom.E93.B.3129

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Published: November 01, 2010Received: August 28, 2009Available on J-STAGE: November 01, 2010Accepted: -Advance online publication: -Revised: -

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Article overview

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.

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