OFDM and FH Signal Recognition Based on Cumulants and SPWVD Spectrum Cancellation for Internet of Things  

作　　者：Zhang Hongxin Wu Yanling Wang Haiqing Chen Canfeng 

机构地区：[1]Beijing Univ Posts & Telecommun, Sch Elect Engn, Beijing 100876, Peoples R China [2]Beijing Univ Posts & Telecommun, Beijing Key Lab Work Safety Intelligent Monitorin, Beijing 100876, Peoples R China [3]Nokia Res Ctr China, Beijing 100078, Peoples R China

出　　处：《China Communications》2012年第5期141-148,共8页中国通信（英文版）

基　　金：This paper was supported by the Fundamental Research Funds for the Central Universities （BUPT Project under Grant No.2009RC0316）; the National Science Foundation of China under Ccant No. 60871081 ; Beijing Natural Science Foundation Design and fabrication of miniature smart antenna based on rnetarmterials under Crant No. 4112039, Nokia-BUPT Union Fund （2000009）.

摘　　要：Considering the Gaussian asymptotic features of OFDM signals, the identification meth-od of it is proposed in this paper by using the cu-mulants of the wavelet transform coefficients in different layer in a low SNR circumstance. Further-more, taking the coexistence of the OFDM and Frequency Hopping （FH） signals into account, a new way to separate FH and OFDM signals is pro- posed based on SPWVD spectrum cancellation, and it can be used to estimate the FH parameters. The simulation resuks show that the OFDM and single-carrier signals can be identified with a high correct rate of 95% even at-6 dB SNR; mean-while, the separation of mixed OFDM and FH sig-nals can be achieved with a low SNR of-6 dB, and FH parameters can be estirmted accurately.It shows that the recognition performance is improved by about 5 dB compared with the traditional method.Considering the Gaussian asymptotic features of OFDM signals,the identification method of it is proposed in this paper by using the cumulants of the wavelet transform coefficients in different layer in a low SNR circumstance.Furthermore,taking the coexistence of the OFDM and Frequency Hopping(FH) signals into account,a new way to separate FH and OFDM signals is proposed based on SPWVD spectrum cancellation,and it can be used to estimate the FH parameters.The simulation results show that the OFDM and single-carrier signals can be identified with a high correct rate of 95% even at-6 dB SNR;meanwhile,the separation of mixed OFDM and FH signals can be achieved with a low SNR of-6 dB,and FH parameters can be estimated accurately.It shows that the recognition performance is improved by about 5 dB compared with the traditional method.

关 键 词：OFDM FH signal identification IoT SPWVD 

分 类 号：TN911.3[电子电信—通信与信息系统] TN914.41[电子电信—信息与通信工程]