相干多普勒测风激光雷达时域信号仿真及时频分析
发布时间：2018-08-27 12:42
【摘要】：基于大气分层时域信号生成模型(feuilletémodel)进行非平稳信号的仿真。引入时-频域联合分析方法反演风速,对非平稳风速模型下的仿真回波信号进行算法处理研究。基于实际系统参数,分别在线性剪切风速和美国宇航局(NASA)阵风模型下仿真回波信号。对仿真信号作Wigner-Ville变换,通过分析信号时频变换后的能量峰值在时频面内的分布来反演风速。采用多组脉冲累加平均的方式来减少因散斑噪声、交叉项等因素造成的反演风速的波动。结果表明,利用时-频域联合分析方法可以快速反演出风速信息,无需对探测范围进行距离门的划分;对多组信号的时频变换结果做累加平均处理后,反演风速的波动减小,与输入风速的一致性得到了明显的改善。
[Abstract]:The simulation of non-stationary signals is carried out based on the atmospheric stratified time domain signal generation model (feuillet 茅 model). The method of time-frequency joint analysis is introduced to retrieve the wind speed, and the algorithm for processing the simulated echo signal under the non-stationary wind speed model is studied. Based on the actual system parameters, the echo signals are simulated under the linear shear wind speed and the NASA (NASA) gust model, respectively. The simulation signal is transformed by Wigner-Ville, and the wind speed is retrieved by analyzing the distribution of the peak energy of the signal in the time-frequency plane. In this paper, a multi-group cumulative averaging method is used to reduce the fluctuation of wind speed due to speckle noise and crossover. The results show that the time-frequency joint analysis method can quickly reverse the wind speed information without dividing the detection range, and the fluctuation of the inverse wind speed can be reduced after the cumulative average processing of the time-frequency transform results of the multi-group signals. The consistency with the input wind speed is obviously improved.
【作者单位】： 北京理工大学光电成像技术与系统教育部重点实验室;
【基金】：国家自然科学基金(61178072)
【分类号】：TN958.98
[Abstract]:The simulation of non-stationary signals is carried out based on the atmospheric stratified time domain signal generation model (feuillet 茅 model). The method of time-frequency joint analysis is introduced to retrieve the wind speed, and the algorithm for processing the simulated echo signal under the non-stationary wind speed model is studied. Based on the actual system parameters, the echo signals are simulated under the linear shear wind speed and the NASA (NASA) gust model, respectively. The simulation signal is transformed by Wigner-Ville, and the wind speed is retrieved by analyzing the distribution of the peak energy of the signal in the time-frequency plane. In this paper, a multi-group cumulative averaging method is used to reduce the fluctuation of wind speed due to speckle noise and crossover. The results show that the time-frequency joint analysis method can quickly reverse the wind speed information without dividing the detection range, and the fluctuation of the inverse wind speed can be reduced after the cumulative average processing of the time-frequency transform results of the multi-group signals. The consistency with the input wind speed is obviously improved.
【作者单位】： 北京理工大学光电成像技术与系统教育部重点实验室;
【基金】：国家自然科学基金(61178072)
【分类号】：TN958.98
【参考文献】
相关期刊论文 前3条
1 刁伟峰;张鑫;刘继桥;竹孝鹏;刘源;毕_巢，
本文编号：2207319
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