摘要
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.
出处
《核电子学与探测技术》
CAS
CSCD
北大核心
2010年第5期698-702,共5页
Nuclear Electronics & Detection Technology
基金
国家863计划重大项目:航空伽玛能谱勘查系统研发(2006AA06A207)
国家自然科学项目:航空伽马数字能谱仪的实时数字信号处理算法研究(40904054)
关键词
航空能谱勘查
谱线光滑
谱线寻峰
自动稳谱
卡尔曼滤波
Airborne spectroscopy investigation, Spectrum smoothing, spectrum peak-search, Auto spec- trum stabilization, Kalman filter algorithm