Spectrum Detection Based on Particle Swarm SVM
- Paper number
IAC-16,B2,3,2,x33785
- Coauthor
Ms. Haiyue Li, State Key Laboratory of Astronautic Dynamics, Xi'an Satellite Control Center; Xi'an Jiaotong University, China
- Year
2016
- Abstract
Spectrum sensing technology can sense the idle spectrum, the signal characteristic, and the frequency band of communication satellite, thus to obtained spectrum occupations. The signal obtained by satellite reconnaissance is generally incomplete, as security features of satellite surveillance signal. This paper presents a method for detecting particle spectrum optimization based on SVM to detect incomplete signal and estimate channel. Nonlinear threshold instead of the traditional linear threshold, generating different false alarm probability of training data by non-linear threshold, calling different nonlinear threshold according to the specific requirements of spectrum sensing.In the primary user need not know a prior information signal spectrum to detect a case, in a low signal to noise ratio and a low sampling rate.
- Abstract document
- Manuscript document
IAC-16,B2,3,2,x33785.pdf (🔒 authorized access only).
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