A Method of Life Signal Identification Based on BP Neural Network

摘要：

Ultra wide band (UWB) life detector can penetrate walls and ruins to detect whether there is a sign of life on the rear. This device will play an important role in anti-terrorism and disaster relief. But because the life signal is low frequency, quasiperiodic, non-stationary and low signal to noise ratio (SNR) and so on, such features restrict the accuracy of identifying life signals. According to the characteristics of life signals, back propagation (BP) neural network is chosen as the life signal recognition method, and the proper network structure is designed with appropriate network parameters selected. Simulation results show that, using BP neural network method can greatly improve the life signal identification accuracy; it is proved to be an effective method in the practical project

关键词： life detector life signal identifications BP neural networks simulation in MATLAB

作者: Hongxia Guo

作者单位: Preps Dept. of Engineering College of the Chinese Peoples Armed Police Force Xian, P. R. China

会议类型: 国际会议

会议名称: 2011 4th International Congress on Image and Signal Processing(第四届图像与信号处理国际学术会议 CISP 2011)

会议地点: 上海

会议语种:英文

页码: 22-25

在线出版日期: 2011-10-15（万方平台首次上网日期，不代表论文的发表时间）