刘广凯^1,,,
全厚德¹,
孙慧贤¹,
崔佩璋¹,
池阔²,
姚少林³
1.陆军工程大学电子与光学工程系 ??石家庄 ??050003
2.陆军工程大学装备指挥管理系 ??石家庄 ??050003
3.洛阳电子信息装备试验中心 洛阳 471000
基金项目:河北省自然科学基金(F2017506006)

详细信息

作者简介:刘广凯：男，1990年生，博士生，研究方向为微弱信号检测、通信抗干扰
全厚德：男，1963年生，教授，研究方向为通信抗干扰、指控系统无线效能增强
孙慧贤：男，1980年生，讲师，研究方向为指挥信息系统工程、战术无线通信技术
崔佩璋：男，1974年生，副教授，研究方向为信息与通信系统
池阔：男，1990年生，博士生，研究方向为机械系统状态检测、故障预测与健康管理
姚少林：男，1992年生，助理工程师，研究方向为电子装备测试

通讯作者:刘广凯　dreamer_gk@163.com

中图分类号:TN918

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出版历程

收稿日期:2019-03-18
修回日期:2019-05-27
网络出版日期:2019-06-03
刊出日期:2019-10-01

Stochastic Resonance Detection Method for the Dual-Sequence Frequency Hopping Signal under Extremely Low Signal-to-Noise Radio

Guangkai LIU^1,,,
Houde QUAN¹,
Huixian SUN¹,
Peizhang CUI¹,
Kuo CHI²,
Shaolin YAO³
1. Department of Electronics and Optical Engineering, Army Engineering University, Shijiazhuang 050003, China
2. Department of Equipment Command and Management, Army Engineering University, Shijiazhuang 050003, China
3. Luoyang Electronic Equipment Test Center, Luoyang 471000, China
Funds:The Natural Science Foundation of Hebei Province (F2017506006)


摘要
摘要:针对对偶序列跳频(DSHF)在极低信噪比(SNR)下无法通信的问题，该文充分利用对偶序列跳频信号时、频域物理特征，提出一种随机共振(SR)检测方法，极大扩展该信号的应用场景。首先，通过分析对偶序列跳频的发射、接收信号及超外差解调的中频(IF)信号，构建随机共振系统，采用尺度变换调整中频信号；然后，引入判决时刻，将无定态解的非自治福克普朗克方程(FPE)转化为可解的自治方程，从而推导出含时间参量的概率密度周期定态解；其次，以最大后验概率为准则，得到检测概率、虚警概率和接收机工作特性(ROC)曲线；最后，得出以下结论：(1) 应用匹配随机共振检测对偶序列跳频信号的信噪比最低可达–18 dB；(2)对偶序列跳频与匹配随机共振结合，适用于信噪比在–18～–14 dB的信号检测；(3)应用匹配随机共振检测对偶序列跳频信号在信噪比为–14 dB时，检测性能提升了25.47%。仿真实验验证了理论的正确性。
关键词:信号检测/
对偶序列跳频/
随机共振/
检测性能
Abstract:Considering the problem that the Dual-Sequence Frequency Hopping (DSFH) can not communicate at extremely low Signal-to-Noise Ratio (SNR), a Stochastic Resonance (SR) detection method is proposed. The SR takes full advantage of the physical characteristics of DSFH signal to improve the detection performance. Firstly, the SR is constructed by analyzing signals of transmission, reception and the Intermediate Frequency (IF). The scale transaction is used to adjust the IF signal to fit the SR. Secondly, the non-autonomous Fokker-Plank Equation (FPE) is transformed into an autonomous equation by introducing the decision time. Therefore, the analytical solution of the probability density function with the parameter of decision time is obtained. Finally, the detection probability, false alarm probability and Receiver Operating Characteristics (ROC) curve are obtained, when the criterion is the Maximum A Posterior probability (MAP). Simulation analysis results show three conclusions: (1) The SNR of DSFH signal can be as low as –18 dB, which uses the matched SR detection. (2) Method for combining DSFH with the matched SR is suitable to detect the signals with SNR of –18 ～–14 dB. (3) In the case of –14 dB SNR, the DFSH signal detection performance increases by 25.47%, when using SR. The proposed method effectiveness is proved with simulation results.
Key words:Signal detection/
Dual-Sequence Frequency Hopping (DSFH)/
Stochastic Resonance (SR)/
Detection performance



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