脉冲相干激光测风FFT和fCWT融合算法的研究  

Research on the fusion algorithm of FFT and fCWT for pulse coherent laser wind measurement

作　　者：邓旭锋 冯振中[1] 汤磊 尹微 王云石 范琪 周鼎富[1] 黄自力[1] DENG Xufeng;FENG Zhenzhong;TANG Lei;YIN Wei;WANG Yunshi;FAN Qi;ZHOU Dingfu;HUANG Zili(Southwest Institute of Technical Physics,Chengdu 610041,China;China Academy of Weapon Science,Beijing 100089,China)

机构地区：[1]西南技术物理研究所,成都610041 [2]中国兵器科学研究院,北京100089

出　　处：《激光杂志》2024年第7期78-84,共7页Laser Journal

基　　金：四川省科技计划资助(No.2022YFG0352)。

摘　　要：在脉冲相干激光雷达测风中,广泛使用的FFT算法运算简便快速,但测风的距离分辨率难以进一步提高,而连续小波变换(CWT)等时频分析方法具有时频精细分析能力,但计算实时性差,提出了一种结合FFT和快速连续小波变换(fCWT)优势的融合算法,算法继承了CWT精细分析能力,而运算速度显著加快。通过对融合算法以及CWT、FFT算法就雷达测风仿真数据及实测数据进行对比,融合算法及CWT和FFT算法绘制的风速曲线趋势一致,但具有更丰富细节,融合算法计算时间相比CWT算法减少了45%以上。此融合算法为提高脉冲相干激光测风雷达测风性能提供了一种新思路。In pulse coherent lidar wind measurement,the widely used FFT algorithm is simple and fast,but the range resolution of wind measurement is difficult to further improve.Time-frequency analysis methods such as continuous wavelet transform(CWT)have fine time-frequency analysis capabilities,but the calculation The real-time performance is poor.This paper proposes a fusion algorithm that combines the advantages of FFT and fast continuous wavelet transform(fCWT).The algorithm inherits the fine analysis capabilities of CWT,and the computing speed is significantly accelerated.By comparing the radar wind measurement simulation data and actual measured data with the fusion algorithm,CWT,and FFT algorithms,the wind speed curves drawn by the fusion algorithm and the CWT and FFT algorithms have the same trend,but have richer details,and the calculation time of the fusion algorithm is reduced compared to the CWT algorithm.more than 45%.This fusion algorithm provides a new idea for improving the wind measurement performance of pulse coherent laser wind measurement radar.

关 键 词：激光测风 傅里叶变换 快速连续小波变换 线性拟合 大气分层模型 

分 类 号：TN249[电子电信—物理电子学]