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作 者:李春 赵知劲[1,2] 岳克强[1] 叶学义[1] LI Chun;ZHAO Zhijin;YUE Keqiang;YE Xueyi(School of Communication Engineering,Hangzhou Dianzi University,Hangzhou Zhejiang 310018,China;National Key Laboratory of Communication System Information Control Technology,36th Research Institute of China Electronics Technology Group,Jiaxing Zhejiang 314001,China)
机构地区:[1]杭州电子科技大学通信工程学院,浙江杭州310018 [2]中国电子科技集团第36研究所通信系统信息控制技术国家级重点实验室,浙江嘉兴314001
出 处:《杭州电子科技大学学报(自然科学版)》2022年第4期1-6,共6页Journal of Hangzhou Dianzi University:Natural Sciences
基 金:国家自然科学基金资助项目(U19B2016)。
摘 要:低信噪比下,跳频信号检测性能出现恶化。根据跳频信号、定频信号、高斯白噪声时频分布的不同特点,提出一种定频干扰下的基于时频谱熵的跳频信号检测算法。通过短时傅里叶变换得到时频谱,引入时频谱熵作为检测统计量来反映信号时频谱的波动性。由于跳频信号时频谱波动的不确定性小于噪声,故利用时频对消谱熵实现了跳频信号的检测。仿真结果表明,当信噪比大于-12 dB时,提出的算法对跳频信号的检测概率达到100%。Under low signal-to-noise ratio,the frequency hopping signal detection performance deteriorates.According to the different characteristics of time-frequency distribution of frequency hopping signal,fixed frequency signal and Gaussian white noise,a frequency hopping signal detection algorithm based on time-frequency cancellation spectrum entropy under fixed frequency interference is proposed.The time spectrum is obtained through short-time Fourier transform,and the time spectrum entropy is introduced as the detection statistics to reflect the volatility of the signal time spectrum.Since the uncertainty of the frequency hopping signal s spectrum fluctuation is less than that of the noise s,the frequency hopping signal s detection is realized by using the time-frequency spectrum entropy.The simulation results show that when the signal-to-noise ratio is greater than-12 dB,the detection probability of the frequency hopping signal can reach 100%,which is better than the comparison algorithm.
分 类 号:TN914.41[电子电信—通信与信息系统]
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