本文選題：超寬帶 + TOA　； 參考：《中國(guó)海洋大學(xué)》2014年碩士論文

【摘要】：無(wú)線通信技術(shù)廣泛應(yīng)用于當(dāng)今社會(huì)的生產(chǎn)生活中，對(duì)無(wú)線通信性能的要求也在不斷提高，超寬帶（Ultra Wideband，UWB)無(wú)線通信技術(shù)作為新型的無(wú)線通信技術(shù)，引起了人們的高度重視。UWB定位技術(shù)具有定位精度高、功耗低、穿透性強(qiáng)、信號(hào)隱蔽性好、對(duì)其他系統(tǒng)干擾較少等優(yōu)點(diǎn)，成為無(wú)線定位技術(shù)中極具潛力的技術(shù)。 本文首先介紹了UWB的基本概念和UWB定位的背景意義，并對(duì)UWB定位的相關(guān)知識(shí)和國(guó)內(nèi)外研究現(xiàn)狀做了一定描述。其次對(duì)無(wú)線定位的主要方法進(jìn)行了研究，分析了各種方法的優(yōu)缺點(diǎn)和應(yīng)用場(chǎng)所，并對(duì)影響定位精度的幾種因素進(jìn)行研究說明，且提出了相應(yīng)的解決辦法。接著對(duì)UWB無(wú)線通信系統(tǒng)進(jìn)行了細(xì)致的研究，并對(duì)UWB脈沖波形、調(diào)制技術(shù)、信道模型、接收等技術(shù)分別進(jìn)行仿真，本文的UWB信號(hào)即采用高斯脈沖和PPM-TH-UWB的調(diào)制模式。 無(wú)線通信環(huán)境中的NLOS、多徑效應(yīng)、信號(hào)衰落等問題將對(duì)信號(hào)的傳播造成很大影響，為了減小環(huán)境對(duì)于定位精度的影響，需要找到一個(gè)可以很好適應(yīng)NLOS環(huán)境和多徑效應(yīng)環(huán)境的無(wú)線定位算法。UWB信號(hào)指紋定位算法是利用UWB信號(hào)的指紋信息，測(cè)得復(fù)雜通信環(huán)境下的指紋數(shù)據(jù)作為離線數(shù)據(jù)庫(kù)，通過神經(jīng)網(wǎng)絡(luò)算法訓(xùn)練離線數(shù)據(jù)，使得訓(xùn)練好的數(shù)據(jù)與實(shí)際環(huán)境匹配，，這樣再進(jìn)行定位時(shí)便可減小復(fù)雜環(huán)境對(duì)UWB信號(hào)的影響，提高定位精度。 最后本文通過一系列的仿真將UWB信號(hào)指紋定位算法與LES定位算法進(jìn)行對(duì)比，仿真結(jié)果表明UWB信號(hào)指紋定位算法具有較高精度，且算法穩(wěn)定性好。
[Abstract]:Wireless communication technology is widely used in the production and life of today's society, and the requirement of wireless communication performance is also increasing. As a new type of wireless communication technology, ultra-wideband Ultra Wideband UWB (UWB) wireless communication technology is a new type of wireless communication technology. Because of the high accuracy, low power consumption, strong penetration, good signal concealment and less interference to other systems, UWB positioning technology has become a potential technology in wireless positioning technology. This paper first introduces the basic concepts of UWB and the background significance of UWB positioning, and describes the relevant knowledge of UWB positioning and the current research situation at home and abroad. Secondly, the main methods of wireless location are studied, the advantages and disadvantages of various methods and their application sites are analyzed, and several factors affecting the positioning accuracy are studied and explained, and the corresponding solutions are put forward. Then the UWB wireless communication system is studied in detail, and the UWB pulse waveform, modulation technology, channel model and reception technology are simulated respectively. The UWB signal in this paper adopts the modulation mode of Gao Si pulse and PPM-TH-UWB. The problems of NLOS, multipath effect and signal fading in wireless communication environment will have a great impact on the signal propagation, in order to reduce the impact of the environment on the positioning accuracy. We need to find a wireless location algorithm which can adapt well to NLOS environment and multipath effect environment. UWB fingerprint location algorithm is based on the fingerprint information of UWB signal, and the fingerprint data in complex communication environment can be used as off-line database. The neural network algorithm is used to train off-line data so that the trained data can match with the actual environment so that the influence of complex environment on UWB signal can be reduced and the positioning accuracy can be improved. Finally, the UWB fingerprint location algorithm is compared with les algorithm through a series of simulations. The simulation results show that the UWB fingerprint location algorithm has high accuracy and good stability.
【學(xué)位授予單位】：中國(guó)海洋大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：TN925

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本文編號(hào)：2039392