衛(wèi)星信道建模及其仿真方法研究
發(fā)布時(shí)間：2019-05-27 19:28
【摘要】：衛(wèi)星信道傳播特性影響著信號(hào)的多址訪問(wèn)方式、編碼方式、調(diào)制方式以及功率控制技術(shù),其相關(guān)技術(shù)是衛(wèi)星通信的基礎(chǔ)性研究之一。信號(hào)由衛(wèi)星傳播到地面接收終端的過(guò)程中會(huì)依次經(jīng)過(guò)外層空間、散逸層、熱層、中間層、平流層和對(duì)流層,存在著很多影響著信號(hào)傳輸?shù)囊蛩?改變了信號(hào)的幅度和相位,使得通信質(zhì)量降低。在此背景下,本文首先分析衛(wèi)星信道的傳播特性,采用主成分分析方法、模糊聚類方法建立多狀態(tài)Markov模型,最后研究所建信道模型的實(shí)現(xiàn)方法并仿真分析信道性能,具體工作如下： (1)按信號(hào)傳播的空間分布,依次分析了信道傳播特性的相關(guān)影響因素。具體影響因素為自由空間損耗,散逸層、熱層、中間層的電離層閃爍,平流層和對(duì)流層的降雨衰減、氣體吸收衰減、云霧衰減、去極化效應(yīng)、多徑和陰影效應(yīng)�？偨Y(jié)得出以下幾點(diǎn)結(jié)論：整個(gè)星地鏈路中,自由空間長(zhǎng)度占總長(zhǎng)度的95%以上,其產(chǎn)生的損耗為第一大損耗來(lái)源：電離層閃爍和季度、電波頻率、觀測(cè)點(diǎn)位置以及太陽(yáng)活動(dòng)有很大關(guān)系,在特殊天文條件下可能導(dǎo)致通信中斷,是通信鏈路研究中必須要考慮的因素；平流層和對(duì)流層中由于云、雨、大氣、山脈等變化極為復(fù)雜、快速,會(huì)導(dǎo)致信號(hào)產(chǎn)生多徑及陰影效應(yīng)。 (2)提出了基于主成分分析的衛(wèi)星信道關(guān)鍵影響因素確定方法。針對(duì)傳統(tǒng)信道建模中研究人員憑借個(gè)人經(jīng)驗(yàn)確定關(guān)鍵影響因素缺乏理論依據(jù),可能會(huì)導(dǎo)致主要影響因素確定不準(zhǔn)確,所建立的模型不能客觀反映實(shí)際信道傳播特性的缺陷,提出了基于主成分分析的衛(wèi)星信道關(guān)鍵影響因素確定方法。該方法從理論角度分析了影響衛(wèi)星信道傳播特性的關(guān)鍵因素,使得所建立的信道模型更加準(zhǔn)確有效。 (3)提出了基于模糊聚類分析的衛(wèi)星信道多狀態(tài)Markov模型狀態(tài)數(shù)確定方法。針對(duì)以前研究中,根據(jù)天氣狀況人為地把衛(wèi)星信道分為固定的幾種狀態(tài),沒(méi)有理論依據(jù),不同的研究人員會(huì)得到不同的結(jié)論,提出了基于模糊聚類分析的衛(wèi)星信道多狀態(tài)Markov模型狀態(tài)數(shù)確定方法,該方法再結(jié)合F-分布可以從數(shù)學(xué)的角度確定特定鏈路衛(wèi)星信道多狀態(tài)Markov模型的狀態(tài)數(shù),使建立的多狀態(tài)Markov模型更具有科學(xué)性。 (4)改進(jìn)了多普勒系數(shù)及多普勒頻率的計(jì)算方法。針對(duì)傳統(tǒng)計(jì)算方法中多普勒頻率具有相鄰頻率對(duì)之間的距離相等的特性,會(huì)造成所設(shè)計(jì)的確定性高斯過(guò)程得周期相對(duì)較小,相應(yīng)的高斯形狀功率譜運(yùn)算成本較高,有時(shí)會(huì)發(fā)生失效的缺陷,提出了一種改進(jìn)型多普勒系數(shù)及多普勒頻率的計(jì)算方法,該方法產(chǎn)生的有色高斯噪聲的性能較好,可以較好地仿真衛(wèi)星信道模型。 (5)研究了經(jīng)典衛(wèi)星信道模型的仿真方法。信道理論模型是信道傳播特性的數(shù)學(xué)描述,但應(yīng)用在科研生產(chǎn)中的都是硬件或軟件可實(shí)現(xiàn)的模型,否則沒(méi)有意義。因此,本文研究了經(jīng)典衛(wèi)星信道模型的實(shí)現(xiàn)方法,同時(shí)推導(dǎo)了信道統(tǒng)計(jì)模型衡量標(biāo)準(zhǔn)：一階統(tǒng)計(jì)特性(包絡(luò)統(tǒng)計(jì)特性)和二階統(tǒng)計(jì)特性(平均衰落時(shí)間和電平交叉率)。
[Abstract]:The transmission characteristics of the satellite channel influence the multiple access mode of the signal, the coding mode, the modulation mode and the power control technology, and the related technology is one of the basic research of satellite communication. The signal is transmitted from the satellite to the ground receiving terminal, through the outer space, the dissipation layer, the thermal layer, the middle layer, the stratosphere and the troposphere in turn, and there are many factors that affect the signal transmission, and the amplitude and the phase of the signal are changed, so that the communication quality is reduced. In this background, the paper first analyzes the propagation characteristics of the satellite channel, uses the principal component analysis method and the fuzzy clustering method to set up a multi-state Markov model, and finally, the method for realizing the channel model of the research institute and the simulation analysis channel performance are carried out, and the specific work is as follows: (1) According to the spatial distribution of the signal propagation, the influence of the channel propagation characteristics is analyzed in this order. the specific influencing factors are free space loss, dissipation layer, thermal layer, ionospheric scintillation of the intermediate layer, rainfall attenuation of the stratosphere and the troposphere, gas absorption attenuation, cloud attenuation, depolarization effect, multi-path and shadow effect, It should be concluded that in the whole satellite link, the free space length is over 95% of the total length, and the loss generated is the first large loss source: the ionospheric scintillation and the quarter, the radio wave frequency, the observation point position and the solar activity are very close It is a factor that must be taken into account in the study of communication links under special astronomical conditions; the changes in the stratosphere and the troposphere due to the changes of the cloud, the rain, the atmosphere, the mountains, etc. are extremely complex and fast, which can cause the signal to generate multi-path and shadow effect (2) The key influencing factors of the satellite channel based on principal component analysis are given. In the traditional channel modeling, the research personnel lack the theoretical basis for determining the key influencing factors by the personal experience, which may lead to the uncertainty of the main influencing factors, and the established model can not objectively reflect the actual channel propagation characteristics In this paper, the key influencing factors of the satellite channel based on the principal component analysis are put forward. In this paper, the key factors that influence the propagation characteristics of the satellite channel are analyzed from the theoretical angle, so that the established channel model is more accurate. In this paper, a multi-state Markov model of a satellite channel based on fuzzy clustering analysis is presented. In the past study, the satellite channel is divided into several fixed states according to the weather conditions, and there is no theoretical basis. The different researchers have different conclusions. The state of the multi-state Markov model of the satellite channel based on the fuzzy cluster analysis is put forward. The method comprises the following steps of: determining a state number of a multi-state Markov model of a specific link satellite channel from a mathematical angle by combining the F-distribution and the F-distribution, so that the established multi-state Markov model It is scientific. (4) The Doppler coefficient and Doppler are improved. The method for calculating the frequency is based on the characteristic that the distance between the adjacent frequency pairs of the Doppler frequency in the conventional calculation method is equal to the distance between the adjacent frequency pairs, so that the designed deterministic Gaussian process is relatively small, the corresponding Gaussian shape power spectrum operation cost is high, In this paper, an improved method for calculating the Doppler frequency and the Doppler frequency is proposed, and the performance of the colored Gaussian noise produced by the method is good, and it can be simulated well. True satellite channel model. (5) The classical satellite is studied. The channel model is a mathematical description of the channel propagation characteristics, but the application in the research and production is realized by hardware or software. In this paper, the method of the classical satellite channel model is studied, and the measures of the channel statistical model are derived. The first order statistical property (envelope statistical property) and the second order statistical property (average fading) are derived.
【學(xué)位授予單位】：南京信息工程大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：TN927.2
本文編號(hào)：2486422
[Abstract]:The transmission characteristics of the satellite channel influence the multiple access mode of the signal, the coding mode, the modulation mode and the power control technology, and the related technology is one of the basic research of satellite communication. The signal is transmitted from the satellite to the ground receiving terminal, through the outer space, the dissipation layer, the thermal layer, the middle layer, the stratosphere and the troposphere in turn, and there are many factors that affect the signal transmission, and the amplitude and the phase of the signal are changed, so that the communication quality is reduced. In this background, the paper first analyzes the propagation characteristics of the satellite channel, uses the principal component analysis method and the fuzzy clustering method to set up a multi-state Markov model, and finally, the method for realizing the channel model of the research institute and the simulation analysis channel performance are carried out, and the specific work is as follows: (1) According to the spatial distribution of the signal propagation, the influence of the channel propagation characteristics is analyzed in this order. the specific influencing factors are free space loss, dissipation layer, thermal layer, ionospheric scintillation of the intermediate layer, rainfall attenuation of the stratosphere and the troposphere, gas absorption attenuation, cloud attenuation, depolarization effect, multi-path and shadow effect, It should be concluded that in the whole satellite link, the free space length is over 95% of the total length, and the loss generated is the first large loss source: the ionospheric scintillation and the quarter, the radio wave frequency, the observation point position and the solar activity are very close It is a factor that must be taken into account in the study of communication links under special astronomical conditions; the changes in the stratosphere and the troposphere due to the changes of the cloud, the rain, the atmosphere, the mountains, etc. are extremely complex and fast, which can cause the signal to generate multi-path and shadow effect (2) The key influencing factors of the satellite channel based on principal component analysis are given. In the traditional channel modeling, the research personnel lack the theoretical basis for determining the key influencing factors by the personal experience, which may lead to the uncertainty of the main influencing factors, and the established model can not objectively reflect the actual channel propagation characteristics In this paper, the key influencing factors of the satellite channel based on the principal component analysis are put forward. In this paper, the key factors that influence the propagation characteristics of the satellite channel are analyzed from the theoretical angle, so that the established channel model is more accurate. In this paper, a multi-state Markov model of a satellite channel based on fuzzy clustering analysis is presented. In the past study, the satellite channel is divided into several fixed states according to the weather conditions, and there is no theoretical basis. The different researchers have different conclusions. The state of the multi-state Markov model of the satellite channel based on the fuzzy cluster analysis is put forward. The method comprises the following steps of: determining a state number of a multi-state Markov model of a specific link satellite channel from a mathematical angle by combining the F-distribution and the F-distribution, so that the established multi-state Markov model It is scientific. (4) The Doppler coefficient and Doppler are improved. The method for calculating the frequency is based on the characteristic that the distance between the adjacent frequency pairs of the Doppler frequency in the conventional calculation method is equal to the distance between the adjacent frequency pairs, so that the designed deterministic Gaussian process is relatively small, the corresponding Gaussian shape power spectrum operation cost is high, In this paper, an improved method for calculating the Doppler frequency and the Doppler frequency is proposed, and the performance of the colored Gaussian noise produced by the method is good, and it can be simulated well. True satellite channel model. (5) The classical satellite is studied. The channel model is a mathematical description of the channel propagation characteristics, but the application in the research and production is realized by hardware or software. In this paper, the method of the classical satellite channel model is studied, and the measures of the channel statistical model are derived. The first order statistical property (envelope statistical property) and the second order statistical property (average fading) are derived.
【學(xué)位授予單位】：南京信息工程大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：TN927.2
【參考文獻(xiàn)】
相關(guān)期刊論文 前10條
1 韓力,吳向春,羅偉雄;非靜止軌道衛(wèi)星信道多普勒頻移特性[J];北京理工大學(xué)學(xué)報(bào);2005年02期
2 趙翠芹;申?yáng)|婭;張雪梅;陸安現(xiàn);陳杰;;衛(wèi)星移動(dòng)信道的統(tǒng)計(jì)模型仿真與Markov的兩狀態(tài)模型[J];重慶郵電大學(xué)學(xué)報(bào)(自然科學(xué)版);2008年01期
3 林金朝,楊士中;陰影環(huán)境下陸地移動(dòng)衛(wèi)星信道的模型研究[J];電訊技術(shù);2001年04期
4 趙麗紅;孫宇舸;蔡玉;徐心和;;基于核主成分分析的人臉識(shí)別[J];東北大學(xué)學(xué)報(bào);2006年08期
5 陳守煜;;可變模糊聚類及模式識(shí)別統(tǒng)一理論與模型[J];大連理工大學(xué)學(xué)報(bào);2009年02期
6 周坡;曹志剛;;基于馬爾可夫過(guò)程的衛(wèi)星移動(dòng)信道模型及長(zhǎng)期預(yù)測(cè)方法[J];電子與信息學(xué)報(bào);2011年12期
7 程紅偉;陶俊勇;張?jiān)瓢?陳循;;基于F分布的指數(shù)型產(chǎn)品環(huán)境因子計(jì)算方法研究[J];兵工學(xué)報(bào);2012年10期
8 梁向陽(yáng);李娟;;基于OPNET的Ka頻段衛(wèi)星信道仿真建模與研究[J];電子設(shè)計(jì)工程;2012年23期
9 郭業(yè)才;袁濤;周潤(rùn)之;張秀再;;地球同步軌道衛(wèi)星信道模型分析及實(shí)現(xiàn)[J];電子技術(shù)應(yīng)用;2014年08期
10 徐杰;單海濱;趙文化;黃江;;針對(duì)靜止氣象衛(wèi)星通訊鏈路的電離層閃爍監(jiān)測(cè)[J];華南地震;2009年S1期
，本文編號(hào)：2486422
本文鏈接：http://sikaile.net/kejilunwen/wltx/2486422.html
最近更新
教材專著
