本文選題：超寬帶 + TOA��； 參考：《中國海洋大學》2014年碩士論文

【摘要】：無線通信技術(shù)廣泛應用于當今社會的生產(chǎn)生活中，對無線通信性能的要求也在不斷提高，超寬帶（Ultra Wideband，UWB)無線通信技術(shù)作為新型的無線通信技術(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、信號隱蔽性好、對其他系統(tǒng)干擾較少等優(yōu)點，成為無線定位技術(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UWB定位的相關(guān)知識和國內(nèi)外研究現(xiàn)狀做了一定描述。其次對無線定位的主要方法進行了研究，分析了各種方法的優(yōu)缺點和應用場所，并對影響定位精度的幾種因素進行研究說明，且提出了相應的解決辦法。接著對UWB無線通信系統(tǒng)進行了細致的研究，并對UWB脈沖波形、調(diào)制技術(shù)、信道模型、接收等技術(shù)分別進行仿真，本文的UWB信號即采用高斯脈沖和PPM-TH-UWB的調(diào)制模式。 無線通信環(huán)境中的NLOS、多徑效應、信號衰落等問題將對信號的傳播造成很大影響，為了減小環(huán)境對于定位精度的影響，需要找到一個可以很好適應NLOS環(huán)境和多徑效應環(huán)境的無線定位算法。UWB信號指紋定位算法是利用UWB信號的指紋信息，測得復雜通信環(huán)境下的指紋數(shù)據(jù)作為離線數(shù)據(jù)庫，通過神經(jīng)網(wǎng)絡(luò)算法訓練離線數(shù)據(jù)，使得訓練好的數(shù)據(jù)與實際環(huán)境匹配，，這樣再進行定位時便可減小復雜環(huán)境對UWB信號的影響，提高定位精度。 最后本文通過一系列的仿真將UWB信號指紋定位算法與LES定位算法進行對比，仿真結(jié)果表明UWB信號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.
【學位授予單位】：中國海洋大學
【學位級別】：碩士
【學位授予年份】：2014
【分類號】：TN925

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本文編號：2039392