A Total Least Squares Reconstruction Algorithm of UWB Signals Based on Sub-Nyquist Sampling

Yang Feng; Hu Jian-hao; Li Shao-qian

doi:10.3724/SP.J.1146.2009.00879

Volume 32 Issue 6

Jun. 2010

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Article Navigation > Journal of Electronics & Information Technology > 2010 > 32(6): 1418-1422

Yang Feng, Hu Jian-hao, Li Shao-qian. A Total Least Squares Reconstruction Algorithm of UWB Signals Based on Sub-Nyquist Sampling[J]. Journal of Electronics & Information Technology, 2010, 32(6): 1418-1422. doi: 10.3724/SP.J.1146.2009.00879

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Yang Feng, Hu Jian-hao, Li Shao-qian. A Total Least Squares Reconstruction Algorithm of UWB Signals Based on Sub-Nyquist Sampling[J]. Journal of Electronics & Information Technology, 2010, 32(6): 1418-1422. doi: 10.3724/SP.J.1146.2009.00879

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A Total Least Squares Reconstruction Algorithm of UWB Signals Based on Sub-Nyquist Sampling

doi: 10.3724/SP.J.1146.2009.00879

Received Date: 2009-06-12
Rev Recd Date: 2009-11-23
Publish Date: 2010-06-19

Abstract

Abstract

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.

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References

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