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".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Introduzimos um método Welch de seleção de tamanho de segmento FFT para medição de espectro de banda larga baseada em FFT no contexto de acesso inteligente ao espectro (SSA), no qual informações estatísticas de uso do espectro de usuários primários (PUs), como ciclo de trabalho (DC), serão ser explorados por usuários secundários (SUs). Os detectores de energia (EDs) baseados em Welch FFT podem detectar a presença de sinais PU em um ambiente de banda larga de forma eficiente, e a DC pode ser estimada adequadamente se um tamanho de segmento Welch FFT for definido adequadamente. Existe uma compensação entre o desempenho de detecção e a resolução de frequência em termos do tamanho do segmento Welch FFT. O tamanho ideal do segmento depende da relação sinal-ruído (SNR), o que dificulta a configuração prática e ideal do tamanho do segmento. Para esta questão, propusemos anteriormente um método de seleção de tamanho de segmento empregando uma relação entre a saída de estimativa de piso de ruído (NF) e o tamanho do segmento sem informação de SNR. Ele pode alcançar um reconhecimento preciso do espectro às custas de uma complexidade computacional relativamente alta, uma vez que emprega uma pesquisa exaustiva para selecionar um tamanho de segmento adequado. Neste artigo, propomos um método de seleção de tamanho de segmento que oferece desempenho razoável de reconhecimento de espectro com baixa complexidade computacional, uma vez que é utilizada pesquisa limitada. Avaliações numéricas mostram que o método proposto pode igualar o desempenho de reconhecimento de espectro do método convencional com complexidade 70% menor ou menos.
Hiroki IWATA
Tokyo University of Agriculture and Technology
Kenta UMEBAYASHI
Tokyo University of Agriculture and Technology
Janne J. LEHTOMÄKI
University of Oulu
Shusuke NARIEDA
Akashi College
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Hiroki IWATA, Kenta UMEBAYASHI, Janne J. LEHTOMÄKI, Shusuke NARIEDA, "Welch FFT Segment Size Selection Method for FFT Based Wide Band Spectrum Measurement" in IEICE TRANSACTIONS on Communications,
vol. E101-B, no. 7, pp. 1733-1743, July 2018, doi: 10.1587/transcom.2017EBP3069.
Abstract: We introduce a Welch FFT segment size selection method for FFT-based wide band spectrum measurement in the context of smart spectrum access (SSA), in which statistical spectrum usage information of primary users (PUs), such as duty cycle (DC), will be exploited by secondary users (SUs). Energy detectors (EDs) based on Welch FFT can detect the presence of PU signals in a broadband environment efficiently, and DC can be estimated properly if a Welch FFT segment size is set suitably. There is a trade-off between detection performance and frequency resolution in terms of the Welch FFT segment size. The optimum segment size depends on signal-to-noise ratio (SNR) which makes practical and optimum segment size setting difficult. For this issue, we previously proposed a segment size selection method employing a relationship between noise floor (NF) estimation output and the segment size without SNR information. It can achieve accurate spectrum awareness at the expense of relatively high computational complexity since it employs exhaustive search to select a proper segment size. In this paper, we propose a segment size selection method that offers reasonable spectrum awareness performance with low computational complexity since limited search is used. Numerical evaluations show that the proposed method can match the spectrum awareness performance of the conventional method with 70% lower complexity or less.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2017EBP3069/_p
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@ARTICLE{e101-b_7_1733,
author={Hiroki IWATA, Kenta UMEBAYASHI, Janne J. LEHTOMÄKI, Shusuke NARIEDA, },
journal={IEICE TRANSACTIONS on Communications},
title={Welch FFT Segment Size Selection Method for FFT Based Wide Band Spectrum Measurement},
year={2018},
volume={E101-B},
number={7},
pages={1733-1743},
abstract={We introduce a Welch FFT segment size selection method for FFT-based wide band spectrum measurement in the context of smart spectrum access (SSA), in which statistical spectrum usage information of primary users (PUs), such as duty cycle (DC), will be exploited by secondary users (SUs). Energy detectors (EDs) based on Welch FFT can detect the presence of PU signals in a broadband environment efficiently, and DC can be estimated properly if a Welch FFT segment size is set suitably. There is a trade-off between detection performance and frequency resolution in terms of the Welch FFT segment size. The optimum segment size depends on signal-to-noise ratio (SNR) which makes practical and optimum segment size setting difficult. For this issue, we previously proposed a segment size selection method employing a relationship between noise floor (NF) estimation output and the segment size without SNR information. It can achieve accurate spectrum awareness at the expense of relatively high computational complexity since it employs exhaustive search to select a proper segment size. In this paper, we propose a segment size selection method that offers reasonable spectrum awareness performance with low computational complexity since limited search is used. Numerical evaluations show that the proposed method can match the spectrum awareness performance of the conventional method with 70% lower complexity or less.},
keywords={},
doi={10.1587/transcom.2017EBP3069},
ISSN={1745-1345},
month={July},}
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TY - JOUR
TI - Welch FFT Segment Size Selection Method for FFT Based Wide Band Spectrum Measurement
T2 - IEICE TRANSACTIONS on Communications
SP - 1733
EP - 1743
AU - Hiroki IWATA
AU - Kenta UMEBAYASHI
AU - Janne J. LEHTOMÄKI
AU - Shusuke NARIEDA
PY - 2018
DO - 10.1587/transcom.2017EBP3069
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E101-B
IS - 7
JA - IEICE TRANSACTIONS on Communications
Y1 - July 2018
AB - We introduce a Welch FFT segment size selection method for FFT-based wide band spectrum measurement in the context of smart spectrum access (SSA), in which statistical spectrum usage information of primary users (PUs), such as duty cycle (DC), will be exploited by secondary users (SUs). Energy detectors (EDs) based on Welch FFT can detect the presence of PU signals in a broadband environment efficiently, and DC can be estimated properly if a Welch FFT segment size is set suitably. There is a trade-off between detection performance and frequency resolution in terms of the Welch FFT segment size. The optimum segment size depends on signal-to-noise ratio (SNR) which makes practical and optimum segment size setting difficult. For this issue, we previously proposed a segment size selection method employing a relationship between noise floor (NF) estimation output and the segment size without SNR information. It can achieve accurate spectrum awareness at the expense of relatively high computational complexity since it employs exhaustive search to select a proper segment size. In this paper, we propose a segment size selection method that offers reasonable spectrum awareness performance with low computational complexity since limited search is used. Numerical evaluations show that the proposed method can match the spectrum awareness performance of the conventional method with 70% lower complexity or less.
ER -