發(fā)布時間：2018-08-27 12:42

【摘要】：基于大氣分層時域信號生成模型(feuilletémodel)進行非平穩(wěn)信號的仿真。引入時-頻域聯(lián)合分析方法反演風速,對非平穩(wěn)風速模型下的仿真回波信號進行算法處理研究�；趯嶋H系統(tǒng)參數(shù),分別在線性剪切風速和美國宇航局(NASA)陣風模型下仿真回波信號。對仿真信號作Wigner-Ville變換,通過分析信號時頻變換后的能量峰值在時頻面內(nèi)的分布來反演風速。采用多組脈沖累加平均的方式來減少因散斑噪聲、交叉項等因素造成的反演風速的波動。結果表明,利用時-頻域聯(lián)合分析方法可以快速反演出風速信息,無需對探測范圍進行距離門的劃分;對多組信號的時頻變換結果做累加平均處理后,反演風速的波動減小,與輸入風速的一致性得到了明顯的改善。
[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.
【作者單位】： 北京理工大學光電成像技術與系統(tǒng)教育部重點實驗室;
【基金】：國家自然科學基金(61178072)
【分類號】：TN958.98

【參考文獻】

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