Abstract
In this paper, we present a power efficient digital front-end for cognitive radio and software-defined radio. The proposed architecture is based on a perfect reconstruction polyphase filter bank able to support a variable number of channels. As an example, we present the implementation of a configurable channelizer working in 8-channels or 4-channels mode. Power efficiency is obtained by switching off the unused resources in the not operating modules. The power saving are estimated through extensive simulations.
Original language | English |
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Title of host publication | Proceedings of the 2018 52nd Asilomar Conference on Signals, Systems, and Computers |
Editors | Michael B. Matthews |
Number of pages | 4 |
Publisher | IEEE Computer Society Press |
Publication date | 2019 |
Pages | 199-202 |
Article number | 8645514 |
ISBN (Electronic) | 9781538692189 |
DOIs | |
Publication status | Published - 2019 |
Event | 52nd Asilomar Conference on Signals, Systems and Computers - Pacific Grove, United States Duration: 28 Oct 2018 → 31 Oct 2018 Conference number: 52 |
Conference
Conference | 52nd Asilomar Conference on Signals, Systems and Computers |
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Number | 52 |
Country/Territory | United States |
City | Pacific Grove |
Period | 28/10/2018 → 31/10/2018 |
Series | Conference Record - Asilomar Conference on Signals, Systems and Computers |
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Volume | 2018-October |
ISSN | 1058-6393 |
Keywords
- Cognitive radio
- Polyphase filter banks
- Power efficiency