本文選題：相干測風(fēng)激光雷達(dá) + 多普勒效應(yīng)　； 參考：《南京郵電大學(xué)》2017年碩士論文

【摘要】：大氣風(fēng)場信息是大氣的一個重要參數(shù),其在數(shù)值天氣預(yù)報、氣象氣候?qū)W研究、環(huán)境監(jiān)測和軍事航空應(yīng)用等領(lǐng)域都有著十分重要的作用。多普勒測風(fēng)激光雷達(dá)具有測量精度高、時空分辨率高以及響應(yīng)速度快等優(yōu)點(diǎn),其應(yīng)用范圍十分廣泛,包括機(jī)場測風(fēng)、風(fēng)切變探測、大氣湍流探測及追蹤、飛機(jī)尾跡渦流探測等。尤其是風(fēng)切變探測,它對提高飛行安全有重大意義。而如何有效判別和提高測風(fēng)激光雷達(dá)系統(tǒng)反演出的大氣風(fēng)場信息的正確性,就是本文的研究重點(diǎn)。本文針對相干多普勒測風(fēng)激光雷達(dá)的回波信號進(jìn)行了有效分析。一是在回波信號功率譜的基礎(chǔ)上,對比分析了兩種不同的去噪方法,同時還在信號載噪比理論研究的基礎(chǔ)上提出了新的載噪比算法,并通過對比實(shí)驗(yàn)驗(yàn)證了該算法的正確性,此外,還驗(yàn)證了該載噪比算法對上述兩種不同的去噪方法均適用。二是在回波信號載噪比的基礎(chǔ)上,對測風(fēng)激光雷達(dá)回波信號的有效性提出了新判據(jù),其能進(jìn)一步縮小回波信號的有效區(qū)間,從而大大提高激光雷達(dá)系統(tǒng)反演出的風(fēng)場信息的正確性。三是針對相干多普勒測風(fēng)激光雷達(dá)的工作環(huán)境,在回波信號載噪比的基礎(chǔ)上,提出了系統(tǒng)自動雨刷功能,該雨刷功能能有效清除測風(fēng)激光雷達(dá)系統(tǒng)的出光端面障礙,從而大大提高回波信號的可靠性。
[Abstract]:Atmospheric wind field information is an important parameter of the atmosphere, which plays an important role in the fields of numerical weather forecast, meteorological and climatological research, environmental monitoring and military aviation application. Doppler wind lidar has many advantages, such as high measurement precision, high spatial and temporal resolution and fast response speed. It has a wide range of applications, including airport wind measurement, wind shear detection, atmospheric turbulence detection and tracking, aircraft wake eddy current detection and so on. Especially wind shear detection is of great significance to improve flight safety. How to effectively distinguish and improve the correctness of the atmospheric wind field information of the wind lidar system is the focus of this paper. In this paper, the echo signal of coherent Doppler wind lidar is analyzed effectively. First, on the basis of the power spectrum of echo signal, two different denoising methods are compared and analyzed. At the same time, a new carrier noise ratio algorithm is proposed based on the theoretical research of signal carrier to noise ratio, and the correctness of the algorithm is verified by comparison experiments. In addition, it is verified that the carrier noise ratio algorithm is applicable to the two different denoising methods mentioned above. Secondly, on the basis of the carrier to noise ratio of the echo signal, a new criterion is proposed for the validity of the echo signal of the wind measuring lidar, which can further reduce the effective range of the echo signal. Therefore, the correctness of wind field information in the inverse performance of lidar system is greatly improved. Third, aiming at the working environment of coherent Doppler wind lidar, a system automatic wiper function is proposed on the basis of echo signal carrier to noise ratio. The wiper function can effectively clear the light out of the wind measuring lidar system. Therefore, the reliability of echo signal is greatly improved.
【學(xué)位授予單位】：南京郵電大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：TN958.98

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本文編號：2099407