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A Novel Parameter-Tuned Stochastic Resonator for Binary PAM Signal Processing at Low SNR

机译:用于低信噪比二进制PAM信号处理的新型参数调谐随机谐振器

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摘要

To improve the receiving performance of binary pulse amplitude modulated (BPAM) signal at low signal-to-noise ratio (SNR), a novel parameter-tuned stochastic resonator (PSR) is proposed. In this letter, we propose a new method for PSR which combines the conventional stochastic resonance (SR) approach based on classic adiabatic approximation theory with the non-conventional SR approach based on parameter tuned theory. Based on this method, we derive an analytical expression of the parameters of SR system. By tuning the parameters of SR system according to the proposed method, there exists a cooperative effect that the BPAM signal is enhanced by the background noise, and the PSR-based receiver is easy to be implemented. Simulation results demonstrate that the bit error ratio (BER) performance of the nonlinear PSR-based receiver is superior to the linear optimal receiver at low SNR.
机译:为了提高低信噪比(SNR)的二进制脉冲幅度调制(BPAM)信号的接收性能,提出了一种新型的参数调谐随机谐振器(PSR)。在这封信中,我们提出了一种用于PSR的新方法,该方法将基于经典绝热近似理论的常规随机共振(SR)方法与基于参数调谐理论的非常规SR方法相结合。基于此方法,我们推导了SR系统参数的解析表达式。通过根据所提出的方法调整SR系统的参数,具有协同作用,即通过背景噪声增强BPAM信号,并且易于实现基于PSR的接收机。仿真结果表明,基于低PSNR的非线性PSR接收机的误码率(BER)性能优于线性最佳接收机。

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