Performance Improvement of PAM-DS UWB Signal in AWGN Channel Based on EMD
The empirical mode decomposition (EMD) method for analysing nonlinear and non-stationary data has attracted great research interests. Because, the PAMDS 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 impulse radio signal from noisy environment. The noisy PAM-DS ITWB signals are decomposed into a finite number of oscillatory modes known as intrinsic mode functions (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. An efficient elimination of noise on UWB signal and a great improvement on Bit Error Rate (BER) are achieved by simulations.
empirical mode decomposition ultra wide band signal denoising bit error rate
Jianmin Xu Yufeng Wang
National Laboratory of Information Control Technology for Communication System Jiaxing, Zhejiang pro Jiangnan Electronic and Communications Research Institute Jiaxing, Zhejiang province, 314033, China
国际会议
2010 2nd International Conference on Signal Processing System(2010年信号处理系统国际会议 ICSPS 2010)
大连
英文
1820-1823
2010-07-05（万方平台首次上网日期，不代表论文的发表时间）