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Summary: Principal Components Tracking Algorithms for
Synchronization and Channel Identification in UWB
systems
J. Zhang, T. D. Abhayapala, R. A. Kennedy
National ICT, Australia and
Department of Telecommunications Engineering
Australian National University, Canberra ACT 0200, Australia
Email: jian@syseng.anu.edu.au
Abstract-- In this paper, we investigate the reduced rank shift
invariant techniques in the application of synchronization and
channel identification of UWB signals. The proposed reduced
rank techniques can track the principal components automati-
cally 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. Technical details in the
application, including the operations of sampling, fast Fourier
transform (FFT) and the capture of synchronization delay, are
given. Experiments show the performance is only slightly inferior
to the general full rank algorithms.
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