论文部分内容阅读
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。
Simulation of Nonstationary Signal Based on Atmospheric Time-Domain Signal Generation Model (feuilletémodel). The time-frequency-domain joint analysis method is used to invert the wind speed, and the simulation echo signal under the non-stationary wind speed model is processed by the algorithm. Based on the actual system parameters, echo signals were simulated at linear shear wind speeds and NASA gust models, respectively. Wigner-Ville transform was used to simulate the signal, and the wind speed was retrieved by analyzing the distribution of peak energy in time-frequency plane after time-frequency transform. Multi-group pulse averaging means to reduce the speckle noise, cross terms and other factors caused by fluctuations in the wind velocity inversion. The results show that the wind speed information can be quickly retrieved by using the time-frequency domain joint analysis method, without the need to divide the range of the detection range. After accumulating and averaging the time-frequency transformation results of multiple signals, the fluctuation of the wind speed is reduced , With the input wind speed consistency has been significantly improved.