Using cyclostationarity to detection and identification in OFDM system for Cognitive Radio Network
Date Issued
2011
Date
2011
Author(s)
Yang, Jyun-Yu
Abstract
Because the digital era comes,wireless communication is the main communication way,and the wireless product is also increase rapidly,however,the spectrum is limited,so we suffer the scarcity spectrum case,fortunately,Cognitive Radio Network (CRN) can slove this problem,CRN can obtain environment parameters to detect the spectrum is vacant or not.
In CRN,spectrum sensing is a major topic,we can say spectrum sensing is one of the keys of technique to decide CRN’s success, traditionally,using energy detection to spectrum sensing,although energy detection is simple and sensing period is fast,but still have lots of drawbacks to slove,so in this paper using man-made signal’s cyclostationarity to detection and identification signal,using Orthogonal Frequency Division Multiplexing(OFDM) system feature to efficiently detect unused spectrum,the major principle is using OFDM system’s Cyclic Prefix(CP) and periodic present Pilot Pattern to accurately detection.
Traditionally,using cyclostationarity to identification need quite high complexity,so in this paper use the other way to decide signal is present or not,let the complexity quit lower,so we use linearly increase complexity algorithm,get the better signal detection and identification.
Subjects
Cognitive Radio Network
cyclostationarity
cyclic prefix(CP)
Pilot pattern
detection
identification
spectrum sensing
spectrum identification
Orthogoanl Frequency Division Multiplexing(OFDM)
Type
thesis
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