Estimation of PN Sequence's Period of the DSSS Signals in Narrowband Interference Environment Based on Spectrum Analysis

The optimization for signals in sread spectrum communications is discussed in the paper.Channel interference affects the correctness of direct sequence spread spectrum(DSSS) signals transmission,which makes it difficult to detect and estimate the parameters of DSSS signals.So an effective algorithm is needed to enhance its anti-interference.To solve the problem,the lapped FFT based on transform domain provided a most effective interference suppression algorithm.Windowed processing and lapped transform for DSSS signals can greatly reduce signals spectrum leakage and loss of signals,and low error rate is obtained.In addition,a lapped FFT algorithm and reprocessing of the power spectrum density algorithm were proposed to detect and estimate the PN sequence's period of the DSSS signal.Theoretical analysis and simulation results show that the proposed algorithm can quickly estimate the PN sequence's period of DSSS signal in the low SNR and low SIR environment,which also proves the efficience of the lapped FFT algorithm.