【摘要】：近年來,無線通信和網絡技術迅猛發(fā)展,多媒體移動通信等新業(yè)務也更加多樣化,頻譜資源也隨之日益緊張。為了解決人們持續(xù)增長的無線通信業(yè)務需求與有限通信容量之間的矛盾,無線寬帶移動通信己由傳統(tǒng)的單輸入單輸出(Single-input Single-output, SISO)系統(tǒng)發(fā)展到多輸入多輸出(Multiple-input Multiple-output, MIMO)系統(tǒng)。多天線系統(tǒng)中多用戶接入需要估計用戶的信道狀況信息,近年來新發(fā)展起來的壓縮感知理論能夠在有效獲得信道估計的前提下,大大增加信道資源利用率,提高用戶接入和信道估計的性能和效果。 論文首先全面介紹了壓縮感知的基本理論,同時描述了壓縮感知在無線通信網絡中的應用現狀,探討了貝葉斯壓縮感知等新型壓縮感知基本理論,分析了其關鍵技術、應用方向和應用現狀。 本文主要研究基于壓縮感知原理的多天線系統(tǒng)中用戶接入管理和信道估計研究,該方法充分利用系統(tǒng)中接入用戶的稀疏性和無線信道的稀疏性,在相同身份序列的條件下,實現更高精度的用戶檢測和信道估計,同時提高了信道資源的利用率。 設計了一種基于網絡中終端數目變化而自適應調整身份序列長度的方法,該方法可以隨著用戶量的變化而適當減少或者增加。相比于固定長度的做法,當用戶量變少時,該方法可以適時減少序列長度,降低信道資源的浪費和終端能量的消耗等等。 此外,為了更好的提高檢測效率,增強信道資源的利用率,減少基站和終端的能量消耗,論文又提出了基于哈達瑪矩陣方法構造身份序列的方法,在保證信道估計表現的同時,更進一步縮短了所需身份序列的長度,在能量表現上有一定的提高。 論文的最后探討了下一步的研究思路。
[Abstract]:In recent years, with the rapid development of wireless communication and network technology, multimedia mobile communication and other new services have become more diversified, and the spectrum resources have become increasingly tight. In order to solve the contradiction between the increasing demand of wireless communication service and the limited communication capacity, the traditional single input single output (Single-input Single-output,) has been used in wireless wideband mobile communication. SISO) system is developed to multi-input multi-output (Multiple-input Multiple-output, MIMO) system. In multi-antenna systems, multi-user access needs to estimate the channel status information of users. In recent years, the newly developed compressed sensing theory can greatly increase the utilization of channel resources on the premise of effective channel estimation. Improve the performance and effect of user access and channel estimation. In this paper, the basic theory of compression sensing is introduced, and the application status of compression sensing in wireless communication network is described. The basic theory of new compression sensing, such as Bayesian compression perception, is discussed, and the key technology is analyzed. Application direction and status quo. This paper focuses on the research of user access management and channel estimation in multi-antenna systems based on compressed sensing theory. This method makes full use of the sparsity of access users in the system and the sparsity of wireless channels under the condition of the same identity sequence. Higher accuracy of user detection and channel estimation is achieved, and the utilization of channel resources is improved. An adaptive method of adjusting the length of identity sequence based on the number of terminals in the network is designed. The method can be reduced or increased with the change of the number of users. Compared with the fixed length method, when the number of users becomes smaller, the method can reduce the length of the sequence, reduce the waste of channel resources and the consumption of terminal energy and so on. In addition, in order to improve the detection efficiency, enhance the utilization of channel resources and reduce the energy consumption of base stations and terminals, this paper proposes a method of constructing identity sequences based on Hadamard matrix method, which ensures the performance of channel estimation at the same time. The length of the required identity sequence is further shortened, and the energy performance is improved. Finally, the paper discusses the next research ideas.
【學位授予單位】：浙江大學
【學位級別】：碩士
【學位授予年份】：2014
【分類號】：TN919.3

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