The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
LAD(Double-Thresholding) 방법을 기반으로 하는 위치 파악 알고리즘은 원래 검색 대역폭을 기준으로 협대역(NB) 신호를 탐지하고 위치를 파악하기 위해 제안되었습니다. 이 방식의 약점은 특히 신호 대 잡음비(SNR)가 낮은 경우 국지화된 신호가 여러 부분으로 분할되는 경우가 많다는 것입니다. 이는 신호 중간에 비어 있는 주파수가 있다는 착각을 불러일으킬 수 있습니다. 본 논문에서는 이러한 문제를 해결하기 위해 LAD 방법의 확장, 즉 2차원 LAD(1-D LAD)를 제안한다. 낮은 계산 복잡도를 제공하는 것 외에도 제안된 방법은 원래의 XNUMX-D LAD 방법보다 낮은 SNR 값에서 작동할 수 있습니다.
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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
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@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},}
부
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 -