Conference proceedings article
Cooperative Cognitive Spectrum Sensing Using Optimized DFT Filter Banks



Publication Details
Authors:
Rehman, U.; Dahlhaus, D.; Hunziker, T.
Editor:
IEEE
Publication year:
2014
Pages range:
121-126
Book title:
IEEE 21st Symposium onCommunications and Vehicular Technology in the Benelux (SCVT), 2014.

Abstract
Spectrum sensing is used in cognitive radio to detect the free portions of spectrum in a licensed frequency band. In this paper, we consider a cooperative spectrum sensing scenario in which the decisions from the secondary users are combined for better sensing accuracy. Each secondary user sends its decision or data to a central node which combines all individual data or decisions. A DFT filter bank based architecture is used by each secondary user for efficient detection of a primary user signal in a desired time-frequency slot. The prototype filters underlying the DFT filter banks are optimized to provide maximum timefrequency resolution. The optimization is done using the concepts of time-frequency analysis and convex optimization. We formulate an objective function to represent the time-frequency distribution of signal energy and use numerical methods to obtain optimized prototypes. The simulation results show that the use of optimized DFT filter banks and cooperation between the sensing nodes give us better performance as compared to other sensing techniques.

Last updated on 2019-25-07 at 10:03