Abstract
The Modulated Wideband Converter (MWC) is one of the promising sub-Nyquist sampling architectures for sparse wideband signal sensing, cognitive radio applications and so on. In order to design an MWC-based RF receiver that meets a target RF specification, noise figure (NF) of the MWC has to be well-defined by its design properties. In this paper, we investigate a comprehensive explanation for NF of MWC by an analytic approach based on a proposed notation of an average noise figure (ANF) of the MWC. Consequently, the analysis is proven with simulation results in order to demonstrate its feasibility.
Highlights
W IDEBAND signal spectrum sensing has been successfully applied to cognitive radios and spectrum analyzers
In the wireless standard IEEE-802.11, allocated wideband signal is centered at the 2.4 GHz with several numbers of active bands depending on the surrounding users
The average noise figure (NF) defined in the previous section will be compared with MATLAB-based simulation results
Summary
W IDEBAND signal spectrum sensing has been successfully applied to cognitive radios and spectrum analyzers. Cognitive radio allows secondary users to opportunistically use the licensed spectrum when the corresponding band is vacant [1]–[3]. The traditional way for detecting such vacant bands in a wideband spectrum is channel-bychannel sequential scanning [4], which needs long sensing time. Another possible way is to use an RF front-end with a bank of narrow band-pass filters that is the inefficient way in terms of hardware complexity even if it solves the latency issue. In the wireless standard IEEE-802.11, allocated wideband signal is centered at the 2.4 GHz with several numbers of active bands depending on the surrounding users
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: IEEE Transactions on Circuits and Systems I: Regular Papers
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
