Direct Downconversion of Multiple Channels by Hilbert-Transform-Based Sub-Sampling for SDR systems

This paper proposes a novel spectrally-efficient down-conversion scheme based on complex bandpass sampling (CBPS) for downconversion of multiple radio frequency (RF) signals. It was investigated the valid sampling range and the minimum sampling frequency of the complex bandpass sampling. Its effectiveness was verified by comparing with real bandpass sampling scheme, and its implementation issues were also discussed

[1]  Mikko Valkama,et al.  Signal processing challenges for applying software radio principles in future wireless terminals: an overview , 2002, Int. J. Commun. Syst..

[2]  Rodney G. Vaughan,et al.  The theory of bandpass sampling , 1991, IEEE Trans. Signal Process..

[3]  Mikko Valkama,et al.  Advanced methods for I/Q imbalance compensation in communication receivers , 2001, IEEE Trans. Signal Process..

[4]  James B. Y. Tsui,et al.  Direct bandpass sampling of multiple distinct RF signals , 1999, IEEE Trans. Commun..

[5]  Jinwoo Park,et al.  An algorithm for downconverting signals using complex bandpass sampling in SDR system , 2003, 14th IEEE Proceedings on Personal, Indoor and Mobile Radio Communications, 2003. PIMRC 2003..

[6]  Walter Tuttlebee,et al.  Software defined radio : enabling technologies , 2002 .

[7]  Ching-Hsiang Tseng,et al.  Direct downconversion of multiband RF signals using bandpass sampling , 2006, IEEE Transactions on Wireless Communications.

[8]  Jinwoo Park,et al.  An efficient algorithm for bandpass sampling of multiple RF signals , 2006, IEEE Signal Processing Letters.