A DSSS Signal Detection Algorithm Based on Decision Tree Under Jamming Environment
In order to solve the problem that the performance of traditional direct sequence spread spectrum signal detection method decreases sharply in interference environment,a new detection method based on cepstrum and time domain cross correlation is proposed in this paper.Firstly,features are extracted as detection statistics based on cepstrum and time-domain cross-correla-tion,and then the optimal threshold is found by grid search method.Then the detection statistics are compared with the threshold,and the detection decision is made by decision tree.Finally,the proposed detection algorithm is analyzed by simulation and verified by experiment.The simulation results show that the proposed method has good detection performance,and the detection rate is great-er than 98%when the ISR is less than 7 dB.The experimental results show that compared with the time-domain cross-correlation detection method,the accuracy of the proposed algorithm is increased by 1.46%.
direct sequence spread spectrum signalcepstrumtime-domain cross-correlationgrid search methoddeci-sion tree
万方数据
维普
