Research On Cyclostationary Signature Detection Algorithm Of Cognitive Radio

Cognitive radio is an effective method to overcome the scarcity of frequency spectrum resource under the current frequency spectrum distribution policy while frequency spectrum cognitive is the prerequisite of this technology. This dissertation analyzes the frequency spectrum's usage condition through the receiving signal's cyclostationary feature based on the cyclostationary detection study.This paper proposed a special frequency detection method based on a certain priori information in accordance with Dandawate frequency domain asymptotic optimalχ2 detection. This method has good detection performance even the SNR is low. At the same time the paper presented the low complexity technology of the OFDM signal embedded with cyclostationary signature and analyzed the detection performance embedded with single cyclostationary and multiple cyclostaionary signatures in details. At the cost of data transmission loss, we can obtain the good signal detection capacity under the complex environment. The simulations demonstrate that these methods have the high detection probability for the OFDM signal embedded with cyclostationary signature even under the low SNR and multipath Rayleigh fading channel environment.