Research Article
Pallavi Garg · Shiva Bhatnagar
Journal
International Journal of Digital Applications and Contemporary Research (IJDACR)
ISSN
2319-4863
Volume / Issue
Vol.5 · Issue 11
Published
June 2017
Access
Open Access
Licence
CC BY-NC-SA 4.0
Spectrum sensing has been identified as a key enabling functionality to ensure that cognitive radios would not interfere with primary users, by reliably detecting primary user signals. Recent research studied spectrum sensing using energy detection and network cooperation via modeling and simulations. However, there is a lack of experimental study that shows the feasibility and practical performance limits of this approach under real noise and interference sources in wireless channels. This paper presents the development of efficient and reliable spectrum sensing algorithm for cognitive radio network with the help of soft computing techniques. A Cultural Algorithm (CA) optimized model for conventional SVD based spectrum sensing algorithm has been presented.
Pallavi Garg, Shiva Bhatnagar (2017). SVD Based Signal Detection using Cultural Algorithm for Spectrum Sensing. International Journal of Digital Applications and Contemporary Research (IJDACR), Vol.5, Issue 11. ISSN: 2319-4863.
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