Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1890612 | Chaos, Solitons & Fractals | 2006 | 8 Pages |
Abstract
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.
Related Topics
Physical Sciences and Engineering
Physics and Astronomy
Statistical and Nonlinear Physics
Authors
Bai Zhang, Maoyin Chen, Donghua Zhou,