Detection and Estimation of DS/SS Signals by Spectra Analysis and Neural Networks
Zhengzhong Zhou · Systems engineering and electronics · 2001
We focus on the applications of spectra(spectrum-reprocessing and cyclic-spectrum) analysis and neural networks(NN) to detect and estimate the direct sequence spread spectrum(DS/SS) signals, proposing a method by utilizing spectra analysis and neural networks to realize the parameter detection of the lower signal to noise ratios(SNR) DS/SS signals and estimation of its pseudo noise(PN) sequence The computer simulations show that these methods can work well on the lower SNR input signals