Improving the near-perfect hybrid filter bank performance in the presence of realization errors
ICASSP '01 Proceedings of the Acoustics, Speech, and Signal Processing, 200. on IEEE International Conference - Volume 02
Design of hybrid filter banks for analog/digital conversion
IEEE Transactions on Signal Processing
Analog-to-digital converter survey and analysis
IEEE Journal on Selected Areas in Communications
Cognitive radio RF: overview and challenges
VLSI Design - Special issue on Flexible Radio Design: Trends and Challenges in Digital Baseband Implementation
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This paper deals with analog-to-digital (A/D) conversion for future software/cognitive radio systems. For these applications, A/D converters should convert wideband signals and offer high resolutions. In order to achieve this and to overcome technological limitations, the A/D conversion systems should be versatile, i.e., it should be possible to adapt the conversion characteristics (resolution and bandwidth) by software. This work studies and adapts hybrid filter banks (HFBs) in this context. First, HFBs, which can provide a large conversion bandwidth, are extended to bandpass sampling, thus minimizing the sampling frequency. Then, we provide efficient ways of improving the HFB resolution in a smaller frequency band, only by reprogramming the digital part. Moreover, this paper takes into account the main drawback of HFBs which is their very high sensitivity to analog imperfections. Simulation results are presented to demonstrate the performance of HFBs.