一种应用粒子滤波器实现混沌通信的方法

该文研究应用粒子滤波器实现混沌通信的问题。组合信号建模技术，提出了一种基于粒子滤波器的实现方法。在发送端，采用加性混沌掩盖或乘性混沌掩盖将信息符号调制在混沌信号上；在接收端，应用粒子滤波器估计信息符号，进而实现混沌通信。仿真结果表明，当信息符号为二进制编码和M进制编码时，基于两种混沌掩盖的通信方案，粒子滤波器均能较好地从噪声混沌信号中恢复信息的编码值；与无先导卡尔曼滤波器相比，前者具有较低的误码率。此外，对比两种混沌通信方案，基于粒子滤波器的加性混沌掩盖通信系统在较高的Eb/N0下的通信性能接近BPSK，具有较低的误码率。

A Method of Chaotic Communication Based on Particle Filter

This paper addresses the issue of chaotic communication with Particle Filter (PF). Combining with the modeling technique for signal, a filtering method based on the particle filter is proposed. Communication is accomplished by using additive chaos masking scheme or multiplicative chaos masking scheme in the transmitter, and message symbols are estimated in the receiver. Simulation results demonstrate that when message symbols are binary codes and M-ary codes, two kinds of chaos masking schemes based on the particle filtering method can perform effectively communication with chaos for retrieving the message signals from the noisy contaminated chaotic signals. In comparison with the UKF-based method, PF-based method has a lower Bit Error Rate (BER). In addition, compared with multiplicative chaos masking scheme, the additive chaos masking scheme based on the particle filtering has a lower bit error rate performance, which is close to ideal BPSK.