Spectrum sensing algorithm based on chaotic system in cognitive radio

Miao Yang; Jian Ping An; Ning Chen; Jing Chong Wei

Spectrum sensing algorithm based on chaotic system in cognitive radio

Miao Yang^*, Jian Ping An, Ning Chen, Jing Chong Wei

^*此作品的通讯作者

科研成果: 期刊稿件 › 文章 › 同行评审

4 引用（Scopus）

摘要

To sense the signal with extreme low SNR in cognitive radio, a periodical signal detection method based on chaos theory is proposed. The method can solve the problem of sensing hidden primary users and low power spectral density signals to a great extent by using the properties of chaos system to sense periodical weak signal and to immunize system from noise. Simulation result has verified the feasibility and validity of the proposed method.

源语言	英语
页（从-至）	329-332+372
期刊	Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology
卷	31
期	3
出版状态	已出版 - 3月 2011

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引用此

Yang, M., An, J. P., Chen, N., & Wei, J. C. (2011). Spectrum sensing algorithm based on chaotic system in cognitive radio. Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology, 31(3), 329-332+372.

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title = "Spectrum sensing algorithm based on chaotic system in cognitive radio",

abstract = "To sense the signal with extreme low SNR in cognitive radio, a periodical signal detection method based on chaos theory is proposed. The method can solve the problem of sensing hidden primary users and low power spectral density signals to a great extent by using the properties of chaos system to sense periodical weak signal and to immunize system from noise. Simulation result has verified the feasibility and validity of the proposed method.",

keywords = "Chaos theory, Duffing system, Spectrum sensing, Weak signal detection",

author = "Miao Yang and An, {Jian Ping} and Ning Chen and Wei, {Jing Chong}",

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T1 - Spectrum sensing algorithm based on chaotic system in cognitive radio

AU - Yang, Miao

AU - An, Jian Ping

AU - Chen, Ning

AU - Wei, Jing Chong

PY - 2011/3

Y1 - 2011/3

N2 - To sense the signal with extreme low SNR in cognitive radio, a periodical signal detection method based on chaos theory is proposed. The method can solve the problem of sensing hidden primary users and low power spectral density signals to a great extent by using the properties of chaos system to sense periodical weak signal and to immunize system from noise. Simulation result has verified the feasibility and validity of the proposed method.

AB - To sense the signal with extreme low SNR in cognitive radio, a periodical signal detection method based on chaos theory is proposed. The method can solve the problem of sensing hidden primary users and low power spectral density signals to a great extent by using the properties of chaos system to sense periodical weak signal and to immunize system from noise. Simulation result has verified the feasibility and validity of the proposed method.

KW - Chaos theory

KW - Duffing system

KW - Spectrum sensing

KW - Weak signal detection

UR - http://www.scopus.com/inward/record.url?scp=79955968562&partnerID=8YFLogxK

M3 - Article

AN - SCOPUS:79955968562

SN - 1001-0645

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JO - Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology

JF - Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology

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Spectrum sensing algorithm based on chaotic system in cognitive radio

摘要

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