一种基于无先导卡尔曼滤波的混沌相移键控通信系统的非相干检测方法

基于UKF算法，该文提出一种CSK通信系统的非相干检测方法。第一个发送符号作为训练符号，接收端根据第一个发送周期内的接收信号，应用UKF算法估计载波信号；然后将估计的载波信号和后续接收信号相乘，解调后续发送符号。与相干检测方法相比，这种方法不需要混沌同步。仿真结果表明，与已有的非相干检测方法相比，这种方法具有较好的误码性能，甚至比FM-DCSK通信系统的误码性能更好。

A Noncoherent Detection Method for Chaos-Shift-Keying Communication System Based on Unscented Kalman Filter

An Unscented Kalman Filter (UKF) based noncoherent detection method for Chaos-Shift-Keying (CSK) communication system is proposed in this paper. The first symbol is used as the training symbol. The carrier signal is estimated from the received signal over the interval of the first symbol duration by using the unscented Kalman filtering algorithm. Then the estimated carrier signal is multiplied with the successive received signal, respectively, to demodulate the successive transmitted symbols. In comparison with the coherent detection method, this algorithm does not require chaos synchronization. In comparison with the existing noncoherent detection methods, simulation results indicate that the method has better BER performance, even outperforms that of the FM-DCSK communication system.