Spectrum sensing with periodic non-uniform sampling
2015 (English)Conference paper (Refereed)
New wireless communication technologies increase the demand for spectrum sensing. However due to the limitations of analogue-to-digital converters, sampling a wide spectrum still remains as a major problem. In this paper, a method for estimating the power spectrum density (PSD) from multi-coset (MC) samples, which is a special sub-Nyquist sampling method, is explained. In order to see the feasibility of the method, wide sense spectrum measurements are taken from a vector signal analyzer and each measurement is MC sampled. Then the PSD estimation is compared with the original PSD of the signal. False alarm rates for different variations are analyzed.
Place, publisher, year, edition, pages
IEEE conference proceedings, 2015. 2190-2190 p.
radio spectrum management;signal detection;signal sampling;PSD estimation;false alarm rate;multi-coset sampling;periodic nonuniform sampling;power spectrum density;spectrum sensing;sub-Nyquist sampling method;vector signal analyzer;wide sense spectrum measurement;Conferences;Estimation;Image reconstruction;Sampling methods;Sensors;Signal processing;Wireless communication;Sub-Nyquist sampling;multi-coset sampling;power spectral density
Engineering and Technology
IdentifiersURN: urn:nbn:se:kth:diva-203723DOI: 10.1109/SIU.2015.7130308ISI: 000380500900528ScopusID: 2-s2.0-84939165020OAI: oai:DiVA.org:kth-203723DiVA: diva2:1082357
2015 23nd Signal Processing and Communications Applications Conference (SIU)
QC 201703162017-03-162017-03-162017-03-16Bibliographically approved