基于Simulink仿真的伽马信号处理方法研究

A Simulink Based Model for Gamma Signal Processing Algorithms

为了研制数字化核谱仪,构建了相应的Simulink仿真模型,并在其中实现了两种数字信号成形算法。将积分电荷相等而宽度不同的脉冲信号以及不同大小的白噪音输入仿真模型,仿真计算得到了相应的时域波形以及频谱图,通过对比两种算法的仿真结果,得出了两种算法各自的优缺点,梯形成型算法对径迹亏损免疫性更好,而尖端成型算法噪音抑制能力更好,在径迹时间不超过0.5μs时,后者对径迹亏损免疫性与前者几乎相同。

A simulation model running on the platform of Simulink was built for developing the digital multi-channel pulse height analysis instrument,in which two digital algorithms for shaping the gamma signal were adopted.The simulation responds are calculated in both time domain and frequency domain when inputting the gamma signals with the same charge but different pulse widths and different white noise intensities.By comparing the simulation results,the characteristics of the two algorithms are obtained that the trapezoidal shaper is better in avoiding ballistic deficit and cusp-like shaper is better in avoiding noise.When ballistic delay under 0.5μs,the latter is almost as good as the former in avoiding ballistic deficit.