Two-Dimensional Signal Localization Algorithm for Spectrum Sensing

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

doi:10.1587/transcom.E93.B.3129

Regular Section

Two-Dimensional Signal Localization Algorithm for Spectrum Sensing

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

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Keywords: narrowband signals, signal sensing

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2010 Volume E93.B Issue 11 Pages 3129-3136

DOI https://doi.org/10.1587/transcom.E93.B.3129

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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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