Abstract:

The extended Kalman filter algorithm and unscented Kalman filter algorithm have a bad estimation performance of chaotic system state and parameter in secure communication based on chaotic parameter modulation.To solve this problem,the particle filter algorithm was used to estimate the state and parameter. The sent binary symbols were used to modulate the parameters of chaotic systems in transmitter. The corresponding parameters of chaotic systems were estimated through particle filter with received signal in receiver. The simulations show that in comparison with extended Kalman filter and unscented Kalman filter, particle filter algorithm in chaotic parameter estimation has shorter convergence time and lower estimation error, and the secure communication can be realized more effectively.

Key words: chaotic parameter modulation; particle filter; parameter estimation; chaotic secure communication