J Shanghai Jiaotong Univ Sci

Journal of shanghai Jiaotong University (Science) ›› 2012, Vol. 17 ›› Issue (1): 1-007.doi: 10.1007/s12204-012-1222-z

• Articles •     Next Articles

An Improved Cyclostationary Feature Detection Based on  the Selection of
Optimal Parameter in Cognitive Radios

An Improved Cyclostationary Feature Detection Based on  the Selection of
Optimal Parameter in Cognitive Radios

SHEN Da (沈   达),   HE Di (何   迪),    LI Wen-hua (李文化),   LIN Ying-pei (林英沛)   

  1. (1. Department of Electronic Engineering, Shanghai Jiaotong University, Shanghai 200240, China;2. ARCON Corporation, Waltham 02451, USA)
  2. (1. Department of Electronic Engineering, Shanghai Jiaotong University, Shanghai 200240, China;2. ARCON Corporation, Waltham 02451, USA)
  • Received:2010-04-13 Online:2012-02-29 Published:2012-03-21
  • Contact: SHEN Da (沈 达) E-mail:penxsd@126.com

Abstract:
Abstract: Spectrum sensing is an important part of
cognitive radio systems to find spectrum hole for transmission which
enables cognitive radio systems coexist with the authorized radio
systems without harmful interference. In this paper, an improved
cyclostationary feature detection method is proposed to reduce
computational complexity without loss of good performance based on
the optimal parameter selection strategy for choosing detection
parameters of cyclic frequency and lag. Taking binary phase shift
keying (BPSK) and quadrature phase shift keying (QPSK) signals as
examples, the theoretical analyses are presented for choosing the
optimal parameters. Simulation results are given to certify the
correctness of the proposed parameter selection strategy and show
the performance of the proposed method.

Key words:

cyclostationary feature detection| cognitive radios|optimal parameter

摘要：
Abstract: Spectrum sensing is an important part of
cognitive radio systems to find spectrum hole for transmission which
enables cognitive radio systems coexist with the authorized radio
systems without harmful interference. In this paper, an improved
cyclostationary feature detection method is proposed to reduce
computational complexity without loss of good performance based on
the optimal parameter selection strategy for choosing detection
parameters of cyclic frequency and lag. Taking binary phase shift
keying (BPSK) and quadrature phase shift keying (QPSK) signals as
examples, the theoretical analyses are presented for choosing the
optimal parameters. Simulation results are given to certify the
correctness of the proposed parameter selection strategy and show
the performance of the proposed method.

关键词:

cyclostationary feature detection| cognitive radios|optimal parameter

CLC Number: