摘要
针对双稳态随机共振系统参数选取困难的问题,基于四阶龙格塔库算法,提出了一种以固定垒高为约束条件的系统参数调节方法。首先,根据输出信噪比公式,得到固定垒高ΔV下系统参数a,b的约束条件。然后,在约束条件下快速搜索a值,使微弱信号产生的频谱幅度峰值再次增大,从而得到与输入信号匹配的最大输出信噪比。仿真结果表明,在高频微弱信号检测中,该方法可以有效抑制低频分量干扰,信噪比较没有设定约束条件的参数调节方法平均提高了3.50dB。
Aimed at the difficulty of selecting parameters in bi-stable stochastic resonance system, based on the Runge-Kutta algorithm, a system parameters adjustment method is put forward in taking the fixed po- tential barrier height as conditions of constraint in this paper. First, according to the formula of output sig- nal＇s SNR, the constraint conditions of parameters a, b are obtained. Then, the value of a is rapidly searched under conditions of constraint, thus making the output spectrum amplitude increased again. Finally, the maximum SNR of the output signal corresponding to the input signal can be obtained. The simu- lation results show that this method can effectively suppress the low frequency interference signals in detecting high frequency weak signals, and the output signal＇s SNR is increased by on average compared to that of traditional methods with no constraint conditions.
出处
《空军工程大学学报（自然科学版）》
CSCD
北大核心
2016年第1期83-89,共7页
Journal of Air Force Engineering University(Natural Science Edition)
基金
国家自然科学基金(61273049)
关键词
随机共振
双稳态
信噪比
参数调节
stochastic resonance
bi-stable
SNR
parameter adjustment
