Adaptive joint synchronization and decryption chaotic secure communication receivers

Based on particle filtering, a novel Bayesian receiver for the chaotic secure communication is proposed. Through incorporating the information symbols into the state variables, the proposed technique can easily handle the joint chaotic synchronization and decryption problem. Further more, in order to decrease the complexity and improve the performance of the proposed receiver, a suboptimal importance function is suggested, which combines the prior distribution of chaotic state variables with the posterior distribution of information symbols. It is shown through simulations that although there is not any synchronization signal, the proposed receiver can effectively synchronize the chaotic states and decrypt the information symbols.