摘要
针对差分吸收激光雷达系统 ,研究信号平均和卡尔曼滤波两种信号处理技术 ,并进行了数值仿真。通过仿真可以看出 ,采用信号平均和卡尔曼滤波技术都可以很好地估计出待测气体的浓度 -光程积 ,大大地提高测量精度 。
For differential absorption lidar(DIAL) system,two signal processing techniques,signal averaging and Kalman filter,are studied,and numerical simulation results are obtained.These results show that the concentration-length(CL) of target gas can be estimated well and the detection accuracy can be improved greatly after using signal averaging or Kalman filter.Performance of signal averaging is compared with Kalman filer using simulated data.
出处
《遥测遥控》
2005年第2期9-12,共4页
Journal of Telemetry,Tracking and Command
关键词
差分吸收激光雷达
信号处理
信号平均
卡尔曼滤波
Differential absorption lidar(DIAL) Signal processing Signal averaging Kalman filter
