Parameter Estimation of DSSS Based on Hilbert-Huang Transform and Cyclic Spectrum

A time-frequency analysis method of Hilbert-Huang transform is attempted to the parameter estimation field of direct sequence spread spectrum(DSSS).A new parameter estimation method based on Hilbert-Huang transform and cyclic spectrum is developed by making full use of cyclic stationarity and decomposable self-applicability and good concentration on Hilbert-Huang transform,which can perform blind parameter estimation without a prior knowledge on pseudorandom sequence and frequency parameters.Moreover,the method also aviods multi-dimensional searching in parameter estimation.Simulation results have proved the validity of the method.