基于混沌Duffing振子的BPSK信号均方值解调方法

MSV Demodulation Method Based on Chaos Duffing Oscillator for BPSK Signal

数字通信系统中,为了降低二进制相移键控(BPSK)信号在低信噪比(SNR)下解调误码率(BER),提出了一种基于混沌Duffing振子的均方值(MSV)解调方法。将BPSK信号作为混沌Duffing振子系统的输入,并利用四阶龙格-库塔算法求解Duffing振子输出。由于BPSK信号相位0和π的跳变,会导致Duffing振子系统输出相轨迹的变化。根据相轨迹变化过程,计算Duffing振子输出信号的MSV,并根据MSV判定BPSK信号,而后计算BER。仿真结果表明,与传统的相干解调法相比,该方法在低信噪比下,BPSK信号解调误码率明显降低,验证了混沌Duffing振子在低信噪比下所具有的信号检测及接收解调等优势。

In digital communication system,in order to reduce the bit error rate （BER） when binary phase shift keying （BPSK） signal being demodulated in low signaltonoise ratio （SNR） environment,the mean square value （MSV） demodulation method based on chaos Duffing oscillator is proposed.The BPSK signal is used as the input of Duffing oscillator system,and the fourth order RugeKuta algorithm is used to get output of Duffing oscillator.Because of the phase transitions of BPSK signal between 0 and π; the phase trajectory status of Duffing oscillator system changes.According to the change of phase trajectory,through calculating the mean square value of system output,on the basis of MSV,BPSK signal can be adjudicated and the BER can be calculated.Simulation results show that comparing with the traditional demodulation,the MSV demodulation method based on chaos Duffing oscillator possesses better demodulation performance in reducing bit error rat of BPSK signal eunder low SNR.It is proved that under the low SNR chaos Duffing oscillator has potential advantages of signal detection,receiving and demodulation,etc.