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

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

4 Citations (Scopus)

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.

Original language	English
Pages (from-to)	329-332+372
Journal	Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology
Volume	31
Issue number	3
Publication status	Published - Mar 2011

Keywords

Chaos theory
Duffing system
Spectrum sensing
Weak signal detection

Cite this

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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}",

year = "2011",

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language = "English",

volume = "31",

pages = "329--332+372",

journal = "Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology",

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TY - JOUR

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

VL - 31

SP - 329-332+372

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

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

IS - 3

ER -

Spectrum sensing algorithm based on chaotic system in cognitive radio

Abstract

Keywords

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