A Fast Spectrum Sensing for OFDM Based on Adaptive Thresholding
Efficient and accurate spectrum sensing is a necessary part in cognitive radio networks.A simple and efficient spectrum sensing technique is proposed to solve the bad performance of spectrum sensing in non synchronous OFDM signals with low SNR regimes.Through the decomposition of the traditional OFDM signal spectrum sensing technology based on cyclostationarity,the real part and the imaginary part of the correlation function are separated.The two order cyclostation of OFDM signal is analyzed from the real part and imaginary part respectively,and the interference caused by imaginary part correlation function is excluded.According to the estimated noise power and false alarm probability to set the corresponding adaptive threshold to complete the OFDM spectrum sensing by the real part correlation function.The simulation results show that compared with the existing methods the proposed algorithm can effectively reduce the computational complexity and improve the perceptual efficiency,and can realize the fast and accurate of OFDM spectrum sensing.
Cognitive radio Correlation function OFDM Spectrum sensing
Mengbo Zhang Lunwen Wang Lei Ding
Research Division 404,Electronic Engineering Institute.Hefei,China The 16th Research Institute of China Electronics Technology Group Corporation.Hefei,China
国际会议
重庆
英文
2674-2678
2017-03-25（万方平台首次上网日期，不代表论文的发表时间）