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Principal Components Tracking Algorithms for Synchronization and Channel Identification in UWB systems

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Date

2004

Authors

Zhang, Jian (Andrew)
Abhayapala, Thushara
Kennedy, Rodney

Journal Title

Journal ISSN

Volume Title

Publisher

Institute of Electrical and Electronics Engineers (IEEE Inc)

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 automatically 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.

Description

Keywords

Keywords: Algorithms; Channel capacity; Computational complexity; Fourier transforms; Principal component analysis; Channel identification; Rank shift identification; Synchronization Channel estimation; Shift invariant techniques; Synchronization; UWB

Citation

URI

http://hdl.handle.net/1885/77544

Collections

Open Access Research

Source

Proceedings of the 2004 IEEE International Symposium on Spread Spectrum Techniques and Applications (ISSSTA)

Type

Conference paper

Book Title

Entity type

Access Statement

License Rights

DOI

Restricted until

2037-12-31

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01_Zhang_Principal_Components_Tracking_2004.pdf (168.61 KB)

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