激光测风雷达VAD反演方法的数值优化  被引量:6

Numerical optimization in VAD inversion technique for wind lidar

在线阅读下载全文

作  者:任鹏[1,2] 王玉兰[2] 康大勇[3] 陈涌[1] 周鼎富[1] 伍波[1] 杨泽后[1] 童静[1] 

机构地区:[1]西南技术物理研究所 [2]成都理工大学信息管理学院 [3]中国人民解放军63891部队

出  处:《激光技术》2009年第6期664-666,669,共4页Laser Technology

摘  要:为了提高多普勒激光测风雷达反演风场的速度和精度,采用 Newton—Gaussian 最小二乘优化方法对风场反演模型进行数值求解,并对 Newton—Gaussian 法的步长和初值进行讨论和调整,使得此算法的鲁棒性更强,同时也降低了传统速度方位显示反演方法中固有缺陷的影响。将其应用到研制的全光纤多普勒激光测风雷达系统中,实现了对低中空局部风场的反演。结果表明,该算法不但提高了风场反演的速度和精度,而且反演结果更稳定,适合实时计算。In order to improve the speed and accuracy of inversion of the wind obtained with a Doppler wind lidar, optimized Newton-Gaussian method of least squares was used to solve the wind inversion model. Its step-size and initial value of Newton-Gaussian were discussed and adjusted so that the method became more robust, and some inherent defects of traditional methods of velocity azimuth display(VAD) inversion were overcome. The inversion of low and mid partial wind-field was achieved with the algorithm adopted in an all-fiber Doppler weather radar.The algorithm not only improves the speed and accuracy of inversion of the wind, but also makes the result of inversion more stable and suitable for real-time calculation.

关 键 词:激光技术 风场反演 速度方位显示法 Newton—Gaussian法 多普勒测风激光雷达 

分 类 号:TN958.98[电子电信—信号与信息处理]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象