基于小波多尺度分解与GLR的UWB信号检测技术  

UWB Signal Detection Technology Based on Wavelet Multiscale Decomposition and Generalized Likelihood Ratio

作　　者：曾献军[1] 张伟军[1] 

机构地区：[1]国防科技大学,湖南长沙410073

出　　处：《计算机测量与控制》2007年第11期1480-1481,1490,共3页Computer Measurement &Control

基　　金：国家高技术863基金资助项目(2005AA8350040)

摘　　要：由于常规窄带信号检测方法不能适用于超宽带信号,为了对超宽带信号进行有效检测,提出了一种基于小波多尺度分解与广义似然比(GLR)相结合的新颖目标检测方法;首先利用小波进行多尺度分解,获得目标所在的位置,通过计算小波域能量,来截取目标信号,由此计算散射中心的分布密度,然后结合利用广义似然比,来实现超宽带信号检测;仿真试验结果表明,该方法与常规的双门限方法相比,在信噪比相同情况下,能获得更好的检测概率,从而体现其优越性。For the detection method of narrowband cannot be adopted for Ultra-wideband （UWB） , The paper presents a novel target detection method based on the wavelet multiscale decomposition and the Generalized Likelihood Ratio to implement the detection of UWB signal. First we get the position of the target using the wavelet multiscale decomposition, and obtain the target signal by calculating the energy in wavelet domain, so we get the target scatterer density. We use the Generalized Likelihood Ratio to implement the detection of UWB signal. Simulation results indicate that the method compared with the method of double threshold detection, can gain higher detection performance, so the method has its advantage.

关 键 词：小波多尺度分解 广义似然比 超宽带信号检测 

分 类 号：TN915.04[电子电信—通信与信息系统]