摘要
经验模式分解(EMD)已广泛用于非线性和非平稳信号的研究,具有瞬态性和低截获概率的TH-PAM UWB信号为非平稳信号,利用EMD方法实现了从复杂的噪声环境中提取微弱TH-PAM UWB信号的目的。带噪信号被分解为若干个固有模态函数(IMF)和一个残余分量,再利用信号和噪声不同的时间尺度特性滤除大部分噪声,最后给出信号提纯和误比特率(BER)性能改进的仿真。
The empirical mode decomposition （EMD） method for analysing nonlinear and non-stationary data has attracted great research interests. Because, the IR-UWB signal which has the property of transient and low probability of intercept （LPI） is non-stationary. In this paper, the EMD method is used to extract the weak im- pulse radio signal from noisy environment. The noisy timing hopping （TH） binary pulse amplitude modulation （PAM） UWB signals are decomposed into a finite number of oscillatory modes known as intrinsic mode func- tions （IMFs） and a residue. Based on different time scale characteristic of the signal and noise, a majority of noise will be removed from signal by proper selection of IMFs. Simulations have demonstrated that an efficient elimi- nation of noise on UWB signal and a great improvement on Bit error rate （BER） are achieved.
出处
《通信对抗》
2013年第3期32-35,共4页
Communication Countermeasures
