Blind Detection of DS/SS Signals through Variance Fractal Dimension Trajectory

To aim at the problem of blind detection of low-SNR direct-sequence spread spectrum (DS/SS) signals, this paper presents that the DS/SS signal has fractal characteristic, and uses the variance fractal dimension trajectory (VFDT) approach to detect the DS/SS signal contaminated by noise. The theoretic analysis and computer simulation results show that this algorithm can detect DS/SS signals at a lower SNR and runs more quickly than the usual detecting methods like the time-domain correlation detecting method, the cepstrum detecting method, and so on.