基于混沌Duffing振子的BPSK信号K-means聚类解调方法

For the binary phase shift keying(BPSK) signal always get high bit error rate(BER) when demodulated in a low signal-to-noise ratio(SNR) environment, a K-means clustering demodulation method based on chaos Duffing oscillator has been proposed to reduce the BER. This study according to two characteristics of Duffing oscillator, not only is it very sensitive to the initial value, but also has certain immunity to noise. The phase of BPSK signal change between 0 and cause state change in the Duffing oscillators phase orbits, and using a K-means clustering method to find the centroid of phase orbit by iteration, then BPSK signal can been demodulating by calculate the distance of centroids. Simulation results show that the K-means clustering demodulation method has a great improvement in the calculation rate and the demodulation accuracy in a low SNR environment.