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室內(nèi)環(huán)境信息對(duì)射線跟蹤算法預(yù)測(cè)精度的影響研究

發(fā)布時(shí)間:2018-06-26 02:58

  本文選題:幾何誤差 + 電參數(shù)誤差 ; 參考:《西安電子科技大學(xué)》2014年碩士論文


【摘要】:移動(dòng)通信技術(shù)的飛速發(fā)展帶動(dòng)了室內(nèi)微微小區(qū)場(chǎng)景下無線網(wǎng)絡(luò)設(shè)備市場(chǎng)的快速壯大。這種背景下一個(gè)能夠精確預(yù)測(cè)室內(nèi)環(huán)境下的傳播信道特性的傳播模型就顯得極其重要。傳統(tǒng)的傳播模型通常都是基于經(jīng)驗(yàn)?zāi)P秃桶虢?jīng)驗(yàn)?zāi)P?然而隨著移動(dòng)通信技術(shù)在室內(nèi)場(chǎng)景下的快速發(fā)展和大規(guī)模商用,傳統(tǒng)的傳播模型由于其自身的局限性已不能勝任提供準(zhǔn)確的傳播預(yù)測(cè)的要求。射線跟蹤技術(shù)在對(duì)無線通信信道進(jìn)行定點(diǎn)預(yù)測(cè)時(shí)能夠計(jì)算多徑接收情況下的時(shí)延和到達(dá)角信息,能夠解決傳統(tǒng)模型預(yù)測(cè)精度不達(dá)標(biāo)的問題,因此,射線跟蹤技術(shù)能為無線信道傳播特性研究和網(wǎng)絡(luò)規(guī)劃提供可靠的理論依據(jù)。本文針對(duì)復(fù)雜室內(nèi)微微小區(qū)場(chǎng)景下的環(huán)境信息,設(shè)計(jì)了一種幾何信息和材料電參數(shù)信息存儲(chǔ)格式,能夠?qū)κ覂?nèi)環(huán)境信息進(jìn)行準(zhǔn)確的建模。在此基礎(chǔ)上使用射線跟蹤技術(shù)對(duì)室內(nèi)場(chǎng)景下的無線信道特征進(jìn)行預(yù)測(cè)。本文系統(tǒng)地研究了室內(nèi)場(chǎng)景下幾何信息建模誤差、材料信息建模誤差以及收、發(fā)天線極化方式對(duì)射線跟蹤算法預(yù)測(cè)精度的影響研究。主要的研究?jī)?nèi)容及取得的研究成果如下:1.系統(tǒng)講解了射線跟蹤算法的理論基礎(chǔ):幾何光學(xué)理論以及一致性幾何繞射理論;詳細(xì)給出了本文中使用射線跟蹤模型需要進(jìn)行預(yù)測(cè)的無線信道參數(shù)及其相應(yīng)的計(jì)算公式。闡述了室內(nèi)場(chǎng)景下射線跟蹤算法中幾種射線路徑的尋找,并給出了使用三維射線跟蹤模型進(jìn)行室內(nèi)電波傳播特性預(yù)測(cè)研究的操作步驟。2.針對(duì)室內(nèi)環(huán)境中幾何信息特征,使用兩種方式來人為生成帶有幾何信息誤差的地圖,使用射線跟蹤算法在這些誤差地圖上預(yù)測(cè)視距路徑、非視距路徑以及預(yù)測(cè)平面上的接收功率和均方根時(shí)延擴(kuò)展值,并與標(biāo)準(zhǔn)地圖進(jìn)行對(duì)比進(jìn)而分析幾何信息建模誤差對(duì)射線跟蹤預(yù)測(cè)精度的影響。3.針對(duì)室內(nèi)環(huán)境中材料信息特征,分別研究相對(duì)介電常數(shù)和電導(dǎo)率建模誤差對(duì)射線跟蹤預(yù)測(cè)精度的影響。在建模過程中針對(duì)室內(nèi)天花板、地板、四周墻壁以及室內(nèi)物體分別生成誤差地圖,使用射線跟蹤算法在這些誤差地圖上預(yù)測(cè)視距路徑、非視距路徑以及預(yù)測(cè)平面上的接收功率和均方根時(shí)延擴(kuò)展值,并與標(biāo)準(zhǔn)地圖進(jìn)行對(duì)比進(jìn)而分析材料信息建模誤差對(duì)射線跟蹤預(yù)測(cè)精度的影響。4.研究了收、發(fā)天線極化方式對(duì)射線跟蹤預(yù)測(cè)精度的影響。在研究過程中設(shè)置收、發(fā)天線陣列陣面是否對(duì)齊,考慮接收天線是否位于發(fā)射天線視距路徑上,并且收、發(fā)天線采用兩組同極化方式和兩組交叉極化方式,在以上情形下研究收、發(fā)天線不同極化方式對(duì)射線跟蹤預(yù)測(cè)結(jié)果的影響。
[Abstract]:With the rapid development of mobile communication technology, the wireless network equipment market grows rapidly in the scene of indoor picoculture. In this context, a propagation model which can accurately predict the characteristics of propagation channel in indoor environment is very important. Traditional communication models are usually based on empirical models and semi-empirical models. However, with the rapid development of mobile communication technology in indoor scenarios and large-scale commercial, Because of its own limitations, the traditional communication model can not meet the requirements of accurate propagation prediction. The ray-tracing technique can calculate the time delay and angle of arrival information in the case of multipath reception in the fixed-point prediction of wireless communication channel, and can solve the problem that the prediction accuracy of the traditional model is not up to the standard. The ray tracing technology can provide reliable theoretical basis for the research of wireless channel propagation characteristics and network planning. In this paper, a storage format of geometric information and material electrical parameter information is designed for the environment information in the complex indoor picocell scene, which can accurately model the indoor environment information. Based on this, ray tracking technology is used to predict the wireless channel features in indoor scenes. In this paper, the effects of geometric information modeling error, material information modeling error and polarization mode of receiving and transmitting antenna on the prediction accuracy of ray tracking algorithm are studied systematically. The main contents and results of the research are as follows: 1. The theoretical basis of ray tracking algorithm, geometric optics theory and consistent geometric diffraction theory, are systematically explained, and the parameters of wireless channel and their corresponding calculation formulas are given in detail in this paper, which need to be predicted by ray tracking model. In this paper, the search of several ray paths in the ray tracing algorithm in indoor scene is described, and the operational steps of predicting the propagation characteristics of indoor radio waves by using the three-dimensional ray tracing model are given. Aiming at geometric information features in indoor environment, two methods are used to artificially generate maps with geometric information errors, and ray-tracing algorithms are used to predict line-of-sight paths on these error maps. The non-line-of-sight path, the received power and the root mean square delay spread in the prediction plane are compared with the standard map, and the effect of geometric information modeling error on the prediction accuracy of ray tracking is analyzed. The effects of relative dielectric constant and conductivity modeling error on the precision of ray tracking prediction were studied according to the information characteristics of materials in indoor environment. In the process of modeling, error maps are generated for indoor ceilings, floors, surrounding walls and indoor objects respectively, and ray tracing algorithm is used to predict the distance of sight path on these error maps. The non-line-of-sight path, the received power and the root mean square delay spread on the prediction plane are compared with the standard map, and the influence of modeling error of material information on the prediction accuracy of ray tracking is analyzed. The effect of polarization mode of receiving and transmitting antenna on the precision of ray tracking prediction is studied. In the course of the research, whether the antenna array is aligned or not, considering whether the receiving antenna is located on the transmission antenna's line-of-sight path, and receiving, the antenna adopts two groups of identical polarization mode and two groups of cross-polarization mode. In the above case, the effects of different polarization modes of receiving and transmitting antennas on the prediction results of ray tracking are studied.
【學(xué)位授予單位】:西安電子科技大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2014
【分類號(hào)】:TN929.5

【參考文獻(xiàn)】

相關(guān)碩士學(xué)位論文 前1條

1 劉空鵬;室內(nèi)超寬帶(UWB)無線通信系統(tǒng)研究[D];浙江大學(xué);2013年

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本文編號(hào):2068757

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