摘要
生命探测雷达根据人体的体动、心跳和呼吸运动所产生的多普勒效应对生命信号进行探测、定位和状态识别.通过分析实测数据提出了生命探测雷达高斯色噪声杂波模型和谐波生命信号模型.采用高阶累积量估计模型参数,根据生命信号特征提出了基于谐波模型的生命探测雷达人体状态识别方法.实际测试实验表明该方法的正确识别率大于90%.
The life detection radar is developed for human life signals detection, location and status recognition by the Doppler effect of body movements, breathing and heartbeat. In this paper by analyzing experimental data, a colored Gaussian noise model and a harmonic signal model are proposed, with model parameters estimated by the high-order cumulant. Then the method for human status recognition is proposed based on the characteristic of life signals. Experimental results confirm that the method has a high recognition rate of greater than 90%.
出处
《西安电子科技大学学报》
EI
CAS
CSCD
北大核心
2005年第2期179-183,共5页
Journal of Xidian University
关键词
生命探测雷达
谐波恢复
状态识别
模型
Gaussian noise (electronic)
Harmonic analysis
Identification (control systems)
Radar
