基于随机共振的多频率微弱信号并行检测  

Multi-Frequency Weak Signals Parallel Detection Based on Stochastic Resonance

作　　者：高瞻[1] 徐庆龙[2] 张东[3] 

机构地区：[1]解放军理工大学通信工程学院,江苏南京210007 [2]解放军理工大学通信工程学院研究生1队 [3]解放军理工大学国防工程学院,江苏南京210007

出　　处：《军事通信技术》2015年第2期25-28,39,共5页Journal of Military Communications Technology

基　　金：国家自然科学基金资助项目(61172062;61301160);江苏省自然科学基金资助项目(BK2011116)

摘　　要：强噪声背景下的微弱信号检测是当前信号处理领域的研究热点。基于非线性理论的随机共振能够利用噪声,将噪声的一部分能量转移给信号,从而获得更高的输出信噪比。针对传统随机共振检测算法应用环境受限且无法实现多频率并行检测的现状,文章面向实际超短波环境,在参数补偿法的基础上,重新设计采样频率和补偿系数,提出了新的检测算法,实现了多频率微弱信号的并行检测。Weak signal detection embedded in strong noise background is a research hotspot in the field of signal processing. The stochastic resonance based on nonlinear theory can transfer the partial power of the noise to signal which can get a higher Signal to Noise Ratio（SNR）. Fa- cing the present situation that the application of the traditional stochastic resonance detection methods is limited and cannot achieve the goal of multi-frequency weak signals parallel detection, the sampling frequency and compensable coefficient were redesigned, and a new detection algo- rithm was put forward in the environment of ultrahigh frequency based on parameter compensa- tion method which achieves the goal of multi-frequency weak signal parallel detection at the same time.

关 键 词：微弱信号检测 线性理论 非线性理论 随机共振 

分 类 号：TN911[电子电信—通信与信息系统]