海洋激光雷达的自适应深度提取算法  

Adaptive Depth Extraction Algorithm for Ocean Lidar

作　　者：刘梦庚 贺岩 陈卫标[1,3] 王永星 朱霞 石先高 黄田程 张宇飞[1,2] Liu Menggeng;;; He Yan; Chen Weibiao;; Wang Yongxing4,5, Zhu Xia5, Shi Xiangao5, Huang Tiancheng6, Zhang Yufei;(Key Laboratory of Space Laser Corn munication and Detection Technology, Shanghai Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Shanghai 01800, China ; University of Chinese Academy of Sciences, Beijing 100049, China ; School of Physical Science and Technology, ShanghaiTech University, Shanghai, 0110, China ; Collaborative Innovation Center of South China Sea Studies, Nanjing University, Nanjing , Jiangsu Province 210023, China ; South China Sea, Air-Borne Detachment of China Marine Surveillance, Guangzhou, Guangdong 510310, China ; 6 State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, State Oceanic Administration, Hangzhou, Zhejiang 31001, China)

机构地区：[1]中国科学院上海光学精密机械研究所空间激光信息传输与探测技术重点实验室,上海201800 [2]中国科学院大学,北京100049 [3]上海科技大学物质科学与技术学院,上海201210 [4]南京大学中国南海研究协同创新中心,江苏南京210023 [5]中国海监南海航空支队,广东广州510310 [6]国家海洋局第二海洋研究所卫星海洋环境动力学国家重点实验室,浙江杭州310012

出　　处：《中国激光》2018年第10期271-278,共8页Chinese Journal of Lasers

基　　金：国家重大科学仪器设备开发专项任务(2013YQ120343)

摘　　要：海洋激光雷达发射的激光脉冲在海水中传输,脉冲波形随深度会发生展宽,相应的雷达接收系统接收到的信号与激光发射脉冲差异会增大,该现象会导致以发射脉冲作为匹配滤波器的固定匹配滤波方法在处理深水激光雷达回波信号时产生误判。为了改进匹配滤波算法对于海洋激光雷达回波数据的性能,使用蒙特卡罗法研究在测区条件下不同深度的激光脉冲在雷达探测器上的波形,并以这组波形作为深度自适应的匹配滤波器来代替匹配滤波算法中的固定匹配滤波器,并用南海的实测数据检验算法的性能。实验表明,自适应深度提取算法相比于匹配滤波算法稳定性和准确性更好。为了验证算法的正确性,以单波束声呐测深在同一测区的测深数据为基础,对雷达测深数据进行精度评定。The laser pulse emitting from the ocean lidar would be stretched while it travels through the deep sea water, and the waveform received by the ocean lidar is quite different from the emitting signal. Therefore, the normal matched filtering algorithm using emitting signal as the matched filtering has a bad performance in processing ocean Lidar data. To improve the performance of matched filtering algorithm, Mento Carlo method is used to simulate the signal waveforms at different depths. The simulation waveforms are used as the matched filtering at the corresponding depth. The adaptive depth extraction algorithm is tested on the clata set which is measured in the South China Sea. The test shows that the adaptive depth extraction algorithm is more accurate and robust on ocean lidar data set. A set of single beam sonar data is used to evaluate the accuracy of depth using the adaptive depth extraction algorithm.

关 键 词：遥感 机载激光测深 匹配滤波算法 海底数值高程 

分 类 号：O436[机械工程—光学工程]