卡尔曼滤波在航空γ能谱勘查系统自动稳谱中的应用

Kalman Filter Application in Auto Spectrum Stabilization in Airborne Spectroscopy Invstigation

针对航空能谱多晶体短时测量所得谱线低计数率、高统计涨落的特点,采用卡尔曼滤波方法对航空能谱谱线进行光滑滤波,比较了几种常用谱线光滑方法与卡尔曼滤波光滑方法的光滑效果,最后采用该方法对谱线光滑,并寻峰实现航空能谱的自动稳谱,在1024道分辨率时,137Cs峰谱漂小于±1道。

Considered airborne spectrum＇s characteristic of low counter rate, high statistics fluctuation when measured in short time period, kalman filter algorithm was adopted to smooth the noise within the airborne spectrum. Compared the effect of several normal used smooth methods with kalman filter meth- od, and finally decided to use this method smooth spectrum, then search the peak position to realize auto spectrum stabilization in airborne spectrum. The result is： spectrum drift less than 1 channel when reso- lution is 1024 channels.