基于FHN神经元模型的UWB信号检测方法

Ultra-wideband signal detection based on FHN model method

针对FHN模型检测UWB信号时需要已知UWB信号和调节噪声强度来产生随机共振的局限性,研究分析了FHN模型系统参数与发生随机共振现象的关系,推导了新的输入输出互相关函数,提出了基于新互相关函数的参数调节FHN模型检测新方法。采用新方法对强噪声中的UWB脉冲信号进行检测并对该方法的检测性能进行了仿真比较与分析。仿真结果表明,新方法可以较为准确地检测到淹没在强噪声中的未知UWB脉冲信号,是一种低信噪比非合作下检测UWB信号的方法。

Aimed at the problems of FHN model that the detection of UWB signals is restricted by the rela- tionships between system parameters and aperiodic stochastic resonance （ASR）, i.e. the known UWB sig- nal and the adjusted intensity of noise, the cross-correlation function is derived, and a method of ASR FHN model with adjusting system parameters is proposed based on the new cross-correlation function. The proposed method is used to detect UWBqR signal. The simulation results show that the unknown UWB-IR signal in high noise can be accurately detected by the proposed method applicable to detect UWB signal un- der condition of non-cooperation in low signal to noise ratio（SNR）