An Adaptive Algorithm for Parameter Estimation of Direct Sequence Spread Spectrum Signal

Aim To present an adaptive algorithm for parameter estimation of pseudo random noise(PRN) code modulated pseudo sinusoid signal. Methods The momentum and the adaptive learning rate adjusted step were used to search Doppler frequency and delay. Results The algorithm reduces the search time, and it is less sensitive to noise as well. Conclusion The algorithm proposed improves the performance of parameter estimation.