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      Performance of Reconstruction Algorithm Based on Sub-Nyquist Bandpass Sampling in the Pulse Position Modulation-Ultra Wide Band System

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          Abstract

          The signal reconstruction algorithm with sub-Nyquist bandpass sampling in Pulse Position Modulation-Ultra Wide Band (PPM-UWB) signal processing is analyzed based on PPM-UWB signal demodulation. Then, the reconstruction method based on the annihilating filter and the Estimation of Signal Parameter via Rotational Invariance Techniques (ESPRIT) algorithm are compared using simulations. The total least squares ESPRIT algorithm, which requires high bandwidth, has better anti-noise performance than the reconstruction method based on the annihilating filter.

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          Author and article information

          Journal
          Journal of Radars
          Chinese Academy of Sciences
          01 April 2015
          : 4
          : 2
          : 185-191
          Affiliations
          [1 ] Wuhan Maritime Communication Research Institute
          [2 ] Huazhong University of Science and Technology
          Article
          9f9628b6c8834543914fbfa2c7f8310c
          10.12000/JR14103
          63bd8fb8-c0e3-4d58-8c52-0bf4fd92714f

          This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

          History
          Categories
          Technology (General)
          T1-995

          Remote sensing,Electrical engineering
          ESPRIT algorithm,Annihilating filter,Sub-Nyquist band-pass sampling,Pulse Position Modulation-Ultra Wide Band (PPM-UWB)

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