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基于相位差分的跳频信号识别方法 被引量:2
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作者 袁英俊 黄知涛 +1 位作者 王岩 周一宇 《通信对抗》 2010年第4期14-17,共4页
利用相位差分方法分析了定频信号、线性调频(LMF)信号、MFSK信号和跳频信号的瞬时频率特征,提出了基于相位差分的跳频信号识别方法,给出了识别流程,仿真验证了不同信噪比下的识别性能,仿真结果表明,在信噪比大于4dB时跳频信号的识别... 利用相位差分方法分析了定频信号、线性调频(LMF)信号、MFSK信号和跳频信号的瞬时频率特征,提出了基于相位差分的跳频信号识别方法,给出了识别流程,仿真验证了不同信噪比下的识别性能,仿真结果表明,在信噪比大于4dB时跳频信号的识别率达到了90%以上。 展开更多
关键词 跳频信号识别 相位差分 瞬时
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OFDM and FH Signal Recognition Based on Cumulants and SPWVD Spectrum Cancellation for Internet of Things
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作者 Zhang Hongxin Wu Yanling +1 位作者 Wang Haiqing Chen Canfeng 《China Communications》 SCIE CSCD 2012年第5期141-148,共8页
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 ci... 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. 展开更多
关键词 OFDM FH signal identification IoT SPWVD
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