2014/01/14 by Tadilo Endeshaw Bogale, Bogale, Tadilo Endeshaw, Luc Vandendorpe +1
Computer Science · Engineering · #Applications (stat.AP) #Blind Source Separation Techniques #Cognitive Radio Networks and Spectrum Sensing #FOS: Computer and information sciences #Satellite Communication Systems #Wireless Communication Networks Research
paper · pdf · doi:10.48550/arxiv.1401.3407
openalex publication_date 2014/01/14 · openalex created_date 2025/10/27 · openalex updated_date 2026/07/28
This paper presents the Universal Software Radio Peripheral (USRP)\nexperimental results of the Max-Min signal to noise ratio (SNR) Signal Energy\nbased Spectrum Sensing Algorithms for Cognitive Radio Networks which is\nrecently proposed in citeBogaMaxMinSNRJournal2013. Extensive experiments are\nperformed for different set of parameters. In particular, the effects of SNR,\nnumber of samples and roll-off factor on the detection performances of the\nlatter algorithms are examined briefly. We have observed that the experimental\nresults fit well with those of the theory. We also confirm that these\nalgorithms are indeed robust against carrier frequency offset, symbol timing\noffset and noise variance uncertainty.\n