Extracting nanosecond pulse signals via stochastic resonance generated by surface plasmon bistability.
Extracting nanosecond pulse signals via stochastic resonance generated by surface plasmon bistability.
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DOI：
10.1364/ol.40.005367
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发表时间：
2015-11
期刊：
影响因子：
3.6
通讯作者：
Jing Han;Hongjun Liu;Qibing Sun;N. Huang;Zhaolu Wang;Shaopeng Li
中科院分区：
文献类型：
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作者：
Jing Han;Hongjun Liu;Qibing Sun;N. Huang;Zhaolu Wang;Shaopeng Li
研究了一种通过基于表面等离子体双稳态的随机共振提取纳秒脉冲噪声隐藏信号的技术。推导了恢复纳秒脉冲信号的理论模型来描述非线性过程。研究发现，入射角、偏振态、介质特性和输入噪声强度都决定了输出信号的效率和保真度。可以精确控制输出强度的双稳态行为，以在1∶5至1∶30的宽输入信噪比范围内获得大于6的互相关增益。同时，相移引起的时域失真可以降低到可以忽略的水平。这项工作为检测各种通信领域中的低电平或隐藏脉冲信号提供了一种潜在的方法。
A technology is investigated to extract nanosecond pulse noise hidden signals via stochastic resonance, which is based on surface plasmon bistability. A theoretical model for recovering nanosecond pulse signals is derived to describe the nonlinear process. It is found that the incident angle, polarization state, medium properties, and input noise intensity all determine the efficiency and fidelity of the output signal. The bistable behavior of the output intensity can be accurately controlled to obtain a cross-correlation gain larger than 6 in a wide range of input signal-to-noise ratio from 1∶5 to 1∶30. Meanwhile, the distortion in the time domain induced by phase shift can be reduced to a negligible level. This work provides a potential method for detecting low-level or hidden pulse signals in various communication fields.