Chaotic secure communication based on particle filtering

Applying the particle filtering technique, this paper considers the problem of chaotic secure communication. Even if there exist system noise and measurement noise in chaotic maps, the modulated messages can be estimated by a modified particle filter algorithm, i.e. a particle filter with message estimation. Furthermore, the driving signal can be arbitrarily nonlinear, which improves the security level for communication. Simulation results of Holmes map verify our main result.