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| 最大概似法在多普勒激光测风雷达中的应用研究 | |
| 引用本文： | 靳笑晗,汪岳峰,竹孝鹏,刘继桥,刁伟峰,陈卫标.最大概似法在多普勒激光测风雷达中的应用研究[J].光学仪器,2012,34(5):28-33. |
| 作者姓名： | 靳笑晗 汪岳峰 竹孝鹏 刘继桥 刁伟峰 陈卫标 |
| 作者单位： | 靳笑晗:军械工程学院 电子与光学工程系,河北 石家庄050003 汪岳峰:军械工程学院 电子与光学工程系,河北 石家庄050003 竹孝鹏:中国科学院 上海光学精密机械研究所 上海市全固态激光器与应用技术重点实验室,上海201800 刘继桥:中国科学院 上海光学精密机械研究所 上海市全固态激光器与应用技术重点实验室,上海201800 刁伟峰:中国科学院 上海光学精密机械研究所 上海市全固态激光器与应用技术重点实验室,上海201800 陈卫标:中国科学院 上海光学精密机械研究所 上海市全固态激光器与应用技术重点实验室,上海201800 |
| 摘 要： | 为了从相干多普勒测风激光雷达的微弱气溶胶后向散射信号中高效、准确地提取多普勒频移信息,得到最接近CRB极限的无偏估计,利用气溶胶后向散射信号统计特性,建立了相干多普勒激光雷达仿真模型,并用最大概似法(ML)推导了在功率谱宽度已知情况下多普勒频率的估计算法。利用1.54μm全光纤相干激光雷达系统获得风场测量数据,用ML算法进行多普勒频移估计,并将结果与传统的周期图最大值法(PM)所得结果进行比较。对比表明,ML算法与PM算法的数据处理结果有较好的一致性,并且ML算法的多普勒频率探测能力更优。 |
| 关 键 词： | 最大概似法(ML) 多普勒频移估计 激光雷达 周期图最大值法(PM) |
| 收稿时间： | 2012/4/20 |
Performance of maximum likelihood estimators of Doppler frequency for coherent Doppler lidar |
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| JIN Xiaohan,WANG Yuefeng,ZHU Xiaopeng,LIU Jiqiao,DIAO Weifeng and CHEN Weibiao.Performance of maximum likelihood estimators of Doppler frequency for coherent Doppler lidar[J].Optical Instruments,2012,34(5):28-33. | |
| Authors: | JIN Xiaohan WANG Yuefeng ZHU Xiaopeng LIU Jiqiao DIAO Weifeng and CHEN Weibiao |
| Affiliation: | 1.Department of Electronic and Optical Engineering,Ordnance Engineering College,Shijiazhuang 050003,China; 2.Shanghai Key Laboratory of All-Solid State Laser and Applied Technology,Shanghai Institute of Optics and Fine Mechanics,Chinese Academy of Science,Shanghai 201800,China) |
| Abstract: | To obtain the nearest estimate of the theoretical limit of the cramer-rao bound (CRB), an estimator algorithm based on the maximum likelihood (ML) estimates is established, assuming known signal spectral width. The data of wind velocity was acquired by a 1.54 μm all fiber coherent Doppler lidar system, which was applied in the ML algorithm to estimate the Doppler frequency. The comparison of ML estimator and PM estimator shows that the ML algorithm has a better performance in Doppler frequency estimating. |
| Keywords: | maximum likelihood(ML) doppler frequency estimates lidar periodgram maximum(PM) |
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