A new state estimation method for chaotic signals: Map-particle filter method
Over the past few decades, research has been conducted regarding the applicability of chaotic behavior in consumer and industrial applications, including secure communication. In this paper, we develop a new particle filter termed as MAP-particle filter and apply it to a secure communication. The proposed particle filter estimates not only the chaotic state but also the secure message, thereby improving the secure communication performance. A computer simulation is conducted to demonstrate the effectiveness of our proposed method.
state estimation particle filter secure communication nonlinear filtering chaos map