Quadstable logical stochastic resonance-based reconfigurable Boolean operation subjected to heavy noise floor
Quadstable logical stochastic resonance-based reconfigurable Boolean operation subjected to heavy noise floor
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DOI：
10.1016/j.rinp.2022.105968
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发表时间：
2022-11
影响因子：
5.3
通讯作者：
Zhiqiang Liao;K. Ma;Md Shamim Sarker;H. Yamahara;M. Seki;H. Tabata
中科院分区：
文献类型：
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作者：
Zhiqiang Liao;K. Ma;Md Shamim Sarker;H. Yamahara;M. Seki;H. Tabata
逻辑随机共振(LSR)是一种在存在背景噪声的情况下利用特定的非线性实现可重构的稳健布尔运算的范例。传统LSR的稳态个数小于4个，这限制了其在强噪声下的上限。为了进一步提高LSR的噪声稳健性和输出质量，本文首次提出了基于四稳非线性的LSR系统。利用蚂蚁狮子优化器确定的参数，比较了在强噪声环境下，提出的四稳态LSR(QLSR)和传统的三稳态LSR(TLSR)作为可重构逻辑门的性能。结果表明，在噪声强度波动较大的地板上，QLSR所能承受的最大噪声强度显著高于TLSR。当强噪声下限包含脉冲时，QLSR和TLSR的脉冲稳健性是相当的。然而，定量指标表明，较大的稳态数赋予QLSR更强的提取噪声能量以增强逻辑信息的能力，因此，QLSR的输出质量好于TLSR。
Logical stochastic resonance (LSR) is a paradigm to realize reconfigurable robust Boolean operations using specific nonlinearity in the presence of background noise. The stable-state number of the traditional LSR is less than four, which restricts its upper limit in the heavy noise floor. To further improve the noise robustness and output quality of LSR, we proposed quadstable nonlinearity based LSR system for the first time in this work. Using the parameters determined by the ant lion optimizer, we compare the performance of proposed quadstable LSR (QLSR) and traditional tristable LSR (TLSR) as reconfigurable logic gates in the heavy noise floor. The results show that in the heavy noise floor with noise intensity fluctuation, the maximum noise intensity that the QLSR can withstand is significantly higher than the that of TLSR. When the heavy noise floor contains pulses, the pulse robustness of QLSR and TLSR is comparable. Nevertheless, the quantitative indexes reveal that larger stable-state numbers endow the QLSR a stronger ability to extract noise energy for enhancing logic information; thus, the output quality of QLSR is better than that of TLSR.