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  • Research Article
  • Open Access

Reduced-Rank Shift-Invariant Technique and Its Application for Synchronization and Channel Identification in UWB Systems

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EURASIP Journal on Wireless Communications and Networking20092008:892193

  • Received: 31 March 2008
  • Accepted: 26 November 2008
  • Published:


We investigate reduced-rank shift-invariant technique and its application for synchronization and channel identification in UWB systems. Shift-invariant techniques, such as ESPRIT and the matrix pencil method, have high resolution ability, but the associated high complexity makes them less attractive in real-time implementations. Aiming at reducing the complexity, we developed novel reduced-rank identification of principal components (RIPC) algorithms. These RIPC algorithms can automatically track the principal components and reduce the computational complexity significantly by transforming the generalized eigen-problem in an original high-dimensional space to a lower-dimensional space depending on the number of desired principal signals. We then investigate the application of the proposed RIPC algorithms for joint synchronization and channel estimation in UWB systems, where general correlator-based algorithms confront many limitations. Technical details, including sampling and the capture of synchronization delay, are provided. Experimental results show that the performance of the RIPC algorithms is only slightly inferior to the general full-rank algorithms.


  • Channel Estimation
  • High Complexity
  • Full Article
  • Publisher Note
  • Matrix Pencil

Publisher note

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Authors’ Affiliations

Networked Systems Research Group, NICTA, Canberra, ACT 2601, Australia
Department of Information Engineering, Research School of Information Sciences and Engineering, The Australian National University, Canberra, ACT 0200, Australia


© Jian (Andrew) Zhang et al. 2008

This article is published under license to BioMed Central Ltd. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.