自适应随机共振二进制基带信号处理

Binary base-band signal processing using adaptive stochastic resonance

在二进制基带数字信号处理系统中引入随机共振作为非线性处理模块,可以有效地提高系统的输出信噪比.从误码率和输入输出互信息角度对随机共振进行研究,提出一种基于互信息的自适应随机共振信号处理方法,增强了二进制基带数字信号处理系统的鲁棒性.系统运行前先使用一很短的训练序列,随机共振模块根据输入输出互信息按照梯度方向自动调整系统参数,经有限步迭代后自动收敛到最佳共振点,并保持此状态对未知信息序列进行处理,使系统输出端误码率达到最低.仿真结果表明,新算法迅速收敛到最大互信息值,与直接判决方法相比具有更大的信噪比增益.

Stochastic resonance was introduced to the binary base-band digital signal processing system to increase the signal to noise ratio.A new method of adaptive stochastic resonance was proposed,which is based on the maximal mutual information criteria.Firstly,a very short binary training sequence is used,the stochastic resonance module calculates the mutual information and tunes the system parameter through the gradient direction.The system converges to the best point after several steps,then the bit error rate of the system reaches the minimum.Secondly,the system is switched to deal with the unknown information sequence.Simulation results indicate that the proposed adaptive stochastic resonance method achieves an improvement of several dBs over the original direct decision method.