%0 Journal Article
%T A Total Least Squares Reconstruction Algorithm of UWB Signals Based on Sub-Nyquist Sampling<br>基于欠奈奎斯特采样的超宽带信号总体最小二乘重建算法
%A Yang Feng
%A Hu Jian-hao
%A Li Shao-qian
%A <br>杨峰
%A 胡剑浩
%A 李少谦
%J 电子与信息学报
%D 2010
%I 
%X A sub-Nyquist sampling method is presented to reduce the ADC sampling rate in UWB wireless communications. Sampling rate of the proposed method is related to the signal innovation rate, which is about one tenth of the Nyquist rate in conventional Shannon sampling theorem. Fourier transform coefficients of the UWB signals are derived from theoretical analysis based on sub-Nyquist sampling. Then Total Least Squares (TLS) algorithm is proposed to estimate the parameters of the amplitudes and time shifts of impulse signals. The waveform of UWB signals can be reconstructed by convolving the estimated impulse signals with Gaussian monocycle. Simulation and experiment results show that the UWB signals can be accurately reconstructed, and the proposed methods outperform annihilating filter method in the presence of noise.
%K Wireless communications
%K Ultra-Wideband
%K Sub-Nyquist sampling
%K Innovation rate
%K Total Least Squares (TLS)
%K Annihilating filter<br>无线通信
%K 超宽带
%K 欠奈奎斯特采样
%K 新息率
%K 总体最小二乘
%K 零化滤波
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=EFC0377B03BD8D0EF4BBB548AC5F739A&aid=8101176CC096FB91055AB69D03A29A99&yid=140ECF96957D60B2&vid=9971A5E270697F23&iid=B31275AF3241DB2D&sid=782B98DFA363AFCB&eid=E64BF5BE957AB7AB&journal_id=1009-5896&journal_name=电子与信息学报&referenced_num=0&reference_num=10