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高噪声环境下检测提取弱目标复合信号的研究

高噪声环境下检测提取弱目标复合信号的研究
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摘要 目的:在高噪声环境下检测并提取和恢复有用信号,该目标信号可以是单频的,也可以是多频率的。方法:主要通过随机共振方法和混沌理论来过滤噪声并提取有用信号,通过一种两者相结合的方法提取出弱目标信号的频率和幅度,并通过调整随机共振系统参数更加准确的从高噪声背景下恢复出弱小的有用信号。创新:解决了信号处理中遇到的奇倍频现象,并提取出多频信号的各个频率和幅度。提出了一种自适应算法,通过计算互相关系数来自动调整系统参数,从而提取出最优目标信号。经测试验证,即使是淹没在高噪声环境下的微弱信号,该自适应系统也可以很大程度的恢复出原本的有用信号。 Objective: Detecting and recovering the useful signal under the high noise environment, the target can be a single frequency signal, also can be multiple frequency. Solution: Mainly through the stochastic resonance theory and Chaos Phase Transformation to filter the noise and extract the useful signal, presentated a nouline^tr hybrid method for detecting and extracting the frequency and amplitude of weak signal.Moreover, recovering the target signal more accurately in high noise background by adjusting the parameters of stochastic resonance system.Results: Effectively solve the Odd Multiple Frequency phenomenon in the Stochastic Resonance, and detecre and extract the frequency and amplitude of componential signal.Furthermore, an adaptive weak signal extraction areithmetic based on Stochastic Resonance is desigend, by adjusting adaptively the parameters of the system to state of SR, the system extract the best multi-frequency weak signal.Verified by test, even if it is a weak siglaal submerged in a high noise environment, the adaptive system can also be greatly useful recovering the original signal.
出处 《电子世界》 2013年第15期76-77,共2页 Electronics World
关键词 高噪声 随机共振 混沌理论 复合信号 noise stochastic resonance chaotic detector multi-frequcncy weak signal
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