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.
Original language | English |
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Pages | 369-373 |
Number of pages | 5 |
Publication status | Published - 2004 |
Event | 2004 IEEE International Symposium on Spread Spectrum Techniques and Applications, ISSSTA 2004 - Sydney, Australia Duration: 30 Aug 2004 → 2 Sept 2004 |
Conference
Conference | 2004 IEEE International Symposium on Spread Spectrum Techniques and Applications, ISSSTA 2004 |
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Country/Territory | Australia |
City | Sydney |
Period | 30/08/04 → 2/09/04 |