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
인지 무선(Cognitive Radio)은 스펙트럼 환경을 감지하는 능력으로 인해 비어있는 스펙트럼을 효율적으로 활용하기 위한 첨단 구현 기술입니다. 인지 무선 구현의 핵심 기능인 스펙트럼 센싱을 위한 다양한 검출 방법이 제안되었다. 그러나 기존 방법의 대부분은 TV 신호 및 무선 마이크 신호를 감지하는 데 관심이 있습니다. 본 논문에서는 OFDM 신호에서 등간격 파일럿 부반송파의 주기성을 탐색합니다. 다양한 페이딩 환경에서의 시뮬레이션은 제안된 순환정위성 기반 검출 방법이 OFDM 신호에 대해 잘 작동함을 보여줍니다.
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.
부
Sung Hwan SOHN, Ning HAN, Guanbo ZHENG, Jae Moung KIM, "Pilot Periodicity Based OFDM Signal Detection Method for Cognitive Radio System" in IEICE TRANSACTIONS on Communications,
vol. E91-B, no. 5, pp. 1644-1647, May 2008, doi: 10.1093/ietcom/e91-b.5.1644.
Abstract: Cognitive Radio is an advanced enabling technology for efficient utilization of vacant spectrum due to its ability to sense the spectrum environment. Various detection methods have been proposed for spectrum sensing, which is the key function in implementing cognitive radio. However most of the existing methods put their interests in detecting TV signal and wireless microphone signals. In this paper, we explore the periodicity of the equally spaced pilot subcarriers in OFDM signal. Simulations in various fading environments show that the proposed cyclostationarity based detection method works well for OFDM signal.
URL: https://global.ieice.org/en_transactions/communications/10.1093/ietcom/e91-b.5.1644/_p
부
@ARTICLE{e91-b_5_1644,
author={Sung Hwan SOHN, Ning HAN, Guanbo ZHENG, Jae Moung KIM, },
journal={IEICE TRANSACTIONS on Communications},
title={Pilot Periodicity Based OFDM Signal Detection Method for Cognitive Radio System},
year={2008},
volume={E91-B},
number={5},
pages={1644-1647},
abstract={Cognitive Radio is an advanced enabling technology for efficient utilization of vacant spectrum due to its ability to sense the spectrum environment. Various detection methods have been proposed for spectrum sensing, which is the key function in implementing cognitive radio. However most of the existing methods put their interests in detecting TV signal and wireless microphone signals. In this paper, we explore the periodicity of the equally spaced pilot subcarriers in OFDM signal. Simulations in various fading environments show that the proposed cyclostationarity based detection method works well for OFDM signal.},
keywords={},
doi={10.1093/ietcom/e91-b.5.1644},
ISSN={1745-1345},
month={May},}
부
TY - JOUR
TI - Pilot Periodicity Based OFDM Signal Detection Method for Cognitive Radio System
T2 - IEICE TRANSACTIONS on Communications
SP - 1644
EP - 1647
AU - Sung Hwan SOHN
AU - Ning HAN
AU - Guanbo ZHENG
AU - Jae Moung KIM
PY - 2008
DO - 10.1093/ietcom/e91-b.5.1644
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E91-B
IS - 5
JA - IEICE TRANSACTIONS on Communications
Y1 - May 2008
AB - Cognitive Radio is an advanced enabling technology for efficient utilization of vacant spectrum due to its ability to sense the spectrum environment. Various detection methods have been proposed for spectrum sensing, which is the key function in implementing cognitive radio. However most of the existing methods put their interests in detecting TV signal and wireless microphone signals. In this paper, we explore the periodicity of the equally spaced pilot subcarriers in OFDM signal. Simulations in various fading environments show that the proposed cyclostationarity based detection method works well for OFDM signal.
ER -