【摘要】：基于大氣分層時(shí)域信號(hào)生成模型(feuilletémodel)進(jìn)行非平穩(wěn)信號(hào)的仿真。引入時(shí)-頻域聯(lián)合分析方法反演風(fēng)速,對(duì)非平穩(wěn)風(fēng)速模型下的仿真回波信號(hào)進(jìn)行算法處理研究�；趯�(shí)際系統(tǒng)參數(shù),分別在線性剪切風(fēng)速和美國(guó)宇航局(NASA)陣風(fēng)模型下仿真回波信號(hào)。對(duì)仿真信號(hào)作Wigner-Ville變換,通過(guò)分析信號(hào)時(shí)頻變換后的能量峰值在時(shí)頻面內(nèi)的分布來(lái)反演風(fēng)速。采用多組脈沖累加平均的方式來(lái)減少因散斑噪聲、交叉項(xiàng)等因素造成的反演風(fēng)速的波動(dòng)。結(jié)果表明,利用時(shí)-頻域聯(lián)合分析方法可以快速反演出風(fēng)速信息,無(wú)需對(duì)探測(cè)范圍進(jìn)行距離門的劃分;對(duì)多組信號(hào)的時(shí)頻變換結(jié)果做累加平均處理后,反演風(fēng)速的波動(dòng)減小,與輸入風(fēng)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(xué)光電成像技術(shù)與系統(tǒng)教育部重點(diǎn)實(shí)驗(yàn)室;
【基金】：國(guó)家自然科學(xué)基金(61178072)
【分類號(hào)】：TN958.98

【參考文獻(xiàn)】

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1 刁偉峰;張?chǎng)?劉繼橋;竹孝鵬;劉源;畢_巢，

本文編號(hào)：2207319