BPSK Signal Reception Algorithm Design Based On Double Differential Duffing Oscillators

With the development of modern communication, especially the concept of information war(IW), signal detection and reception put forward more and more requirements. In the modern war, the communication signal is getting more and more covert, and the SNR is lower and lower. While the traditional methods of signal detection and reception cannot meet the demand, the nonlinear theory has attracted people’s attention. BPSK signal is widely used in modern communication, and it is very important to study the reception of BPSK signal.In this paper, we first survey the status and progress of signal detection and reception based on nonlinear theory, and choose the Duffing oscillator, a typical chaotic model, as the theoretical basis. Then, the dynamics of the Duffing oscillator is studied, and some dynamical behaviors of the oscillator are investigated, and the range of the periodic driving force is theoretically analyzed during which the oscillator is chaotic. According to the features of initial value sensitivity when Duffing oscillator is in chaos state, two oscillators with similar parameters are used to judge the state of Duffing oscillator. The influence of the discretization is considered when solving the Duffing equation and the parameter is adjusted according to the simulation step. The effect of the noise on the Duffing oscillator is the main cause of the code error. In this paper, the effect of three kinds of noise, white noise, single frequency noise and narrowband Gauss noise, on the chaotic oscillator is studied. Finally, a simulation model of receiving BPSK signal is put forward using Simulink. The model is divided into three modules, the signal generation module, the Duffing oscillator difference module and the data processing module. According to the analysis of the model of narrowband noise and the amplitude of periodic driving force, the bit error rate of the method is qualitatively lower than that of the coherent demodulation method. With the different of parameters, the bit error rate of the BPSK signal is also different. Through theoretical analysis and simulation, the values of symbol rate, filter cut-off frequency and threshold are determined. The simulation results show we get 1d B gain utilizing this method.