dc.contributor.authorNarendar, M.
dc.contributor.authorVinod, Achutavarrier Prasad
dc.contributor.authorMadhukumar, A. S.
dc.contributor.authorKrishna, Anoop Kumar
dc.date.accessioned2013-12-04T05:03:34Z
dc.date.available2013-12-04T05:03:34Z
dc.date.copyright2013en_US
dc.date.issued2013
dc.identifier.citationNarendar, M., Vinod, A. P., Madhukumar, A. S., & Krishna, A. K. (2013). A tree-structured DFT filter bank based spectrum detector for estimation of radio channel edge frequencies in cognitive radios. Physical communication, 9, 45-60.en_US
dc.identifier.issn1874-4907en_US
dc.identifier.urihttp://hdl.handle.net/10220/18027
dc.description.abstractCognitive Radio (CR) aims to provide efficient spectrum utilization in spectrum scarce wireless environments. One of the key CR functionalities is the spectrum sensing, which allows CRs to monitor the electromagnetic spectrum and detect unused bands of spectrum. Wideband spectrum sensing needs to be employed for better spectrum opportunity detection and interference avoidance both in the case of commercial and military applications. Accurate sensing needs to be employed for blocker detection in commercial systems such as LTE for the design of transmit/receive path. In military radios, the challenge lies in the robust detection of the location of the center frequencies and bandwidths of individual radio channels in the wideband input signal. In this paper, an energy detector based on tree-structured discrete Fourier transform based filter bank (TDFTFB) is proposed for detecting the edges of the channels in the spectrum. The proposed method is compared with the conventional wavelets based method for complexity and performance. The design example and simulations show that the gate count resource utilization of the proposed detection scheme is 22.9% lesser than the wavelets method at the cost of a slight degradation (0.5%) in detection accuracy. Over-the-air tests performed using Universal Software Radio Peripheral 2 (USRP2) and MATLAB/SIMULINK showed that the present method is not input specific whereas the conventional wavelet based approach depends on the spectral location of the input.en_US
dc.language.isoenen_US
dc.relation.ispartofseriesPhysical communicationen_US
dc.subjectDRNTU::Engineering::Computer science and engineering
dc.titleA tree-structured DFT filter bank based spectrum detector for estimation of radio channel edge frequencies in cognitive radiosen_US
dc.typeJournal Article
dc.contributor.schoolSchool of Computer Engineeringen_US
dc.identifier.doihttp://dx.doi.org/10.1016/j.phycom.2013.06.001


Files in this item

FilesSizeFormatView

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record