基于参数自适应随机共振的BPSK信号解调技术研究

Research on BPSK Signal Demodulation Technology Based on Parameter Adaptive Stochastic Resonance

在数字通信系统中,要求接收机能在低信噪比下对BPSK调制信号有良好的解调性能。为了提升接收机的解调性能,提出了一种基于参数自适应的随机共振方法。首先,非线性双稳态随机共振系统的参数根据背景噪声强度自适应调整,使系统输出具有最大信噪比增益,从而获得最佳的共振效果。其次,对随机共振后的信号进行解调并计算误码率。经过分析和大量的仿真表明:在低信噪比条件下,与传统解调法相比较,PASR解调法对BPSK信号误码率的降低具有更好的效果。

In the digital communication system,the receiver is required to have better demodulation performance on the phase shift keying(BPSK)modulation signal.For purpose of improving the demodulation performance of receivers,a method based on parameter adaptive stochastic resonance(PASR)was proposed.At first,having the background noise intensity based to adjust the parameter of the nonlinear bistable stochastic resonance system so that the system output can get the maximum SNR gain and obtain the optimal resonance effect;secondly,having the signal after random resonance demodulated and the bit error rate calculated.The analysis and simulation results show that,as compared to the traditional demodulation method under low SNR conditions,the proposed PASR can achieve much better demodulation performance in reducing the bit error rate of BPSK signals.