Blind separation and parameter estimation of multiple frequency-hopping signals
Wenzheng Chen · Journal of Zhejiang University(Engineering Science) · 2005
This work proposed a method for estimating the parameters of multiple received frequency-hopping (FH) signals without any a priori knowledge. First the unknown signals were separated by joint approximate diagonalisation of eigen-matrices (JADE) algorithm. Then the method used the smoothed pseudo Wigner-Ville distribution (SPWVD) of each separated FH signal to estimate its transmission parameters such as hop duration, time-offset and hopping frequency pattern. By using multiple overlapped SPWVD windows, the effect of cross-term interference in the time-frequency analysis was minimized. Simulation results showed that the new estimation algorithm greatly improved the accuracy and reliability of parameter estimation.