A DSSS Signal Detection Method Based on Wavelet Decomposition and Delay Multiplication
Xiaolin Zhang, Sijia Li, Zengmao Chen · 2018
This paper proposes an improved method for direct sequence spread spectrum (DSSS) signal detection with low signal to noise ratio (SNR) in noncooperative field. To solve the problem that the correlative peaks appear discontinuously and unsteadily for DSSS signal with very low SNR, the wavelet decomposition-delay multiplication combined processing technique is proposed to improve the autocorrelation of signal under detection. The simulations indicate that this method can effectively achieve blind detection and pseudo-noise (PN) sequence period estimation of DSSS signal in low SNR scenarios.