A total least squares reconstruction algorithm of UWB signals based on sub-nyquist sampling

被引：0
|
作者：
Yang F. [1 ]
Hu J.-H. [1 ]
Li S.-Q. [1 ]
机构：
[1] National Key Lab of Communications, University of Electronic Science and Technology of China
来源：
Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology | 2010年 / 32卷 / 06期
关键词：
Annihilating filter; Innovation rate; Sub-Nyquist sampling; Total Least Squares (TLS); Ultra-Wideband; Wireless communications;
D O I：
10.3724/SP.J.1146.2009.00879
中图分类号：
学科分类号：
摘要：
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.
引用
收藏
页码：1418 / 1422
页数：4
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