期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2013
卷号：49
期号：2
出版社：Journal of Theoretical and Applied
摘要：The article through the analysis of time domain and frequency domain to the radar non-contact life- parameter signals and gain its characteristics of extremely low frequency, low SNR, and the easy submerged in strong clutter noise. This paper presents the algorithm of dynamic life signal detection based on Elman neural network. The practice shows that the Elman neural network can stored state inside through the united way. Gain the function of the dynamic features by feedback network. And achieve the purpose of dynamic modeling. The simulation results show that the system has the ability to adapt to the time-varying characteristic. And the better generalization it is and the higher practical value it will be.
关键词：Neural Network; Signal Noise Raito (SNR); Clutter Noise; Detection
