基于S-K数字成形和种群技术的脉冲参数提取方法

Pulse Parameter Extraction Method Based on S-K Digital Shaping and Population Technique

核脉冲信号成形前的指数信号往往含有较为丰富的高频信号并叠加有噪音,使指数信号的参数识别变得困难,对此,本文提出一种通过成形后的信号反推成形前参数的方法。采用S-K高斯数字成形算法和种群技术,由高斯信号搜寻指数信号的参数。结果表明,该方法得到的指数脉冲参数精度高:幅值和产生时间误差在1%以内,时间常数误差为2%左右,是一种性能良好的脉冲识别方法。

Because the exponential nuclear pulse signal before shaping often contains a lot of high frequency sig- nals and noise, so it is difficult to identify the parameters. In this paper, we proposed an identification method of exponential signal based on the shaped signal. By using the Sallen - Key Gauss digital shaping algorithm and population technology, the parameters of the exponential signal can be searched by the Gauss signal. Results show that, the precision of the exponential pulse parameters obtained by this method is high ： the error of pulse amplitude and emergence time was less than 1%, and the error of time constant was about 1%. It is a kind of pulse identification method with good performance.