A Method for Estimating the Symbol Rate of MSK Signals Based on Bounded Generalized Cyclic Correntropy

To improve the noise suppression performance of the original generalized cyclic correntropy in the strong impulse noise interference environment, we aim to enhance its ability to estimate the MSK signal of very low frequency communication. This method will prevent the degradation or failure of the algorithm's symbol rate estimation ability. An improved method for estimating symbol rate is proposed based on the generalized cyclic correntropy algorithm. This method is based on the cyclostationarity of MSK signals and the good suppression performance of its activation function on strong impulse signals. Through computer simulation, under the interference of strong impulses and low signal-to-noise ratio noise, the effective estimation of MSK code element rate can be accomplished by using spectral peak search.