This paper presents a novel chaotic communication method using an Unscented Kalman Filter (UKF). Applying UKF, the method proposes the estimation of the state variables of the chaotic dynamical system and synchronization. The proposed method is then applied to new private secure communication. The chaotic synchronization is implemented by the UKF in the presence of processing noise and measurement noise. The main highlighted advantages of using UKF are increasing accuracy, efficiency and improvement of synchronization's time. Encoding chaotic communication achieves a satisfactory, typical secure communication scheme. To illustrate the effectiveness of the proposed scheme, a numerical example based on the Lorenz dynamical system and Rössler dynamical system is presented and the results are compared to the Extended Kalman Filter (EKF). The results of simulation have shown the improvement of the function in the case of increasing the accuracy and efficiency of the synchronization, and decreasing its time.
|Original language||English (US)|
|Number of pages||10|
|Journal||Journal of Engineering Science and Technology Review|
|State||Published - Jan 1 2015|
All Science Journal Classification (ASJC) codes