本文選題：靜止軌道　切入點(diǎn)：可見度函數(shù)　出處：《中國科學(xué)院大學(xué)(中國科學(xué)院國家空間科學(xué)中心)》2017年碩士論文　論文類型：學(xué)位論文

【摘要】：在對靜止軌道大氣探測需求的背景下,靜止軌道干涉式毫米波大氣探測儀(GIMS)應(yīng)運(yùn)而生。相比于太陽同步軌道衛(wèi)星探測,靜止軌道探測器相對地球靜止,可以獲得極高時(shí)間分辨率以及大觀測范圍,因此在天氣預(yù)警和快速變化天氣現(xiàn)象(如臺風(fēng)、強(qiáng)降雨等突發(fā)災(zāi)害性天氣現(xiàn)象)的即時(shí)和短期天氣預(yù)報(bào)上具有更好的時(shí)效性,能夠發(fā)揮更大的作用。此外,靜止軌道毫米波大氣探測儀與紅外探測器相結(jié)合,能有效彌補(bǔ)紅外探測無法穿透云層而無法觀測到云團(tuán)內(nèi)部溫度和濕度結(jié)構(gòu)以及降水參數(shù)的缺陷,從而實(shí)現(xiàn)在有云天氣條件下大氣溫濕度的垂直分布探測,提供云團(tuán)內(nèi)部的三維結(jié)構(gòu)信息,有效地監(jiān)測大尺度降水結(jié)構(gòu)及其變化。隨著微波遙感技術(shù)的不斷發(fā)展,高精度定量化遙感對微波探測技術(shù)指標(biāo)的要求越來越高,為滿足靜止軌道對地球全圓盤觀測以及高空間分辨率的需求,GIMS星載系統(tǒng)硬件設(shè)計(jì)上變得越來越復(fù)雜,具體表現(xiàn)為陣列規(guī)模增大,天線單元數(shù)增多,同時(shí)輻射靈敏度提高,亮溫觀測目標(biāo)擴(kuò)展為全球尺度范圍。而探測系統(tǒng)運(yùn)算復(fù)雜度隨天線單元數(shù)的平方關(guān)系增長,由此帶來的計(jì)算量巨大、仿真效率低下的問題亟待解決。為解決上述問題,本文提出了基于GPU并行處理的仿真思想,嘗試?yán)貌⑿杏?jì)算提高系統(tǒng)的仿真效率。論文首先分析了靜止軌道干涉式毫米波大氣探測系統(tǒng)仿真的復(fù)雜度,找出整個(gè)仿真系統(tǒng)運(yùn)行的瓶頸,提出了利用GPU的并行計(jì)算能力提高仿真系統(tǒng)時(shí)間性能的必要性。并且,進(jìn)行了可行性實(shí)驗(yàn),分析了實(shí)驗(yàn)結(jié)果,證明了基于GPU仿真系統(tǒng)的可行性。隨后,對原始仿真系統(tǒng)進(jìn)行了并行化處理,并在不同的仿真平臺上進(jìn)行了實(shí)驗(yàn)驗(yàn)證。結(jié)果表明,并行處理后的系統(tǒng)仿真效率較傳統(tǒng)MATLAB仿真平臺提高了6倍以上,較MATLAB-GPU仿真平臺提高了5倍以上,加速效果良好。同時(shí),為驗(yàn)證GPU并行處理的優(yōu)勢,本文隨之進(jìn)行了單CPU平臺的串行仿真以及MATLAB多核實(shí)驗(yàn)。實(shí)驗(yàn)結(jié)果證明了并行處理在處理大規(guī)模數(shù)據(jù)集上具有高效的計(jì)算能力。最后,本文將并行處理模塊與前后仿真模塊間加入接口函數(shù),使整個(gè)仿真系統(tǒng)形成一個(gè)完整的仿真流程,各模塊之間能夠互相協(xié)調(diào),共同完成GIMS系統(tǒng)的仿真任務(wù)。本文所做的工作成功解決了綜合孔徑輻射計(jì)仿真復(fù)雜度高、仿真效率低下的問題,提供了一種新的且實(shí)用性高的仿真平臺,對整個(gè)GIMS系統(tǒng)的仿真工作具有重大的意義。
[Abstract]:Against the background of the demand for geostationary orbit atmosphere detection, the geostationary orbit interference millimeter wave atmospheric detector (GIMS) came into being. Compared with the solar synchronous orbit satellite exploration, the geostationary orbit detector is relative to the geostationary. Very high temporal resolution and large observation range can be obtained, so it has better timeliness in both immediate and short-term weather forecasting for weather early warning and rapidly changing weather phenomena (such as typhoons, heavy rainfall and sudden severe weather phenomena). In addition, the combination of the static orbit millimeter wave atmospheric detector and the infrared detector can effectively compensate for the imperfections in the temperature and humidity structure of the cloud cluster and the precipitation parameters that the infrared detection cannot penetrate the clouds, Thus, the vertical distribution of atmospheric temperature and humidity can be detected under the condition of cloud weather, the three-dimensional structure information of cloud cluster can be provided, and the large-scale precipitation structure and its changes can be effectively monitored. With the development of microwave remote sensing technology, The requirement of high precision quantitative remote sensing for microwave detection technology is becoming higher and higher. In order to meet the demand of geostationary orbit for the whole disk observation of the earth and the high spatial resolution, the hardware design of Gims spaceborne system has become more and more complicated. In particular, the array size increases, the number of antenna elements increases, and the radiation sensitivity increases, and the bright temperature observation target expands to a global scale. The computational complexity of the detection system increases with the square relation of the antenna number. In order to solve the above problems, a simulation idea based on GPU parallel processing is proposed in this paper. This paper attempts to improve the simulation efficiency of the system by using parallel computing. Firstly, the complexity of the simulation of the static orbit interference millimeter wave atmospheric detection system is analyzed, and the bottleneck of the whole simulation system is found out. The necessity of using the parallel computing power of GPU to improve the time performance of the simulation system is put forward. Furthermore, the feasibility experiment is carried out, and the results of the experiment are analyzed to prove the feasibility of the simulation system based on GPU. The original simulation system is parallelized and verified by experiments on different simulation platforms. The results show that the system simulation efficiency after parallel processing is more than 6 times higher than that of the traditional MATLAB simulation platform. Compared with the MATLAB-GPU simulation platform, it is more than 5 times higher, and the acceleration effect is good. At the same time, in order to verify the advantages of GPU parallel processing, In this paper, serial simulation of single CPU platform and MATLAB multi-core experiment are carried out. The experimental results show that parallel processing has high efficiency in processing large scale data sets. Finally, In this paper, the interface function is added between the parallel processing module and the simulation module before and after, so that the whole simulation system can form a complete simulation flow, and the modules can coordinate with each other. This paper successfully solves the problems of high complexity and low efficiency of synthetic aperture radiometer simulation, and provides a new and practical simulation platform. It is of great significance to the simulation of the whole GIMS system.
【學(xué)位授予單位】：中國科學(xué)院大學(xué)(中國科學(xué)院國家空間科學(xué)中心)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：P407.7;TP391.9

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