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大維度MIMO和空間調(diào)制信號(hào)檢測算法研究

發(fā)布時(shí)間:2018-10-19 12:06
【摘要】:多輸入多輸出(MIMO)系統(tǒng)在不增加系統(tǒng)帶寬和發(fā)送信號(hào)功率的情況下,能夠獲得高頻譜效率和高傳輸可靠性。最近,隨著5G技術(shù)研究的深入,收發(fā)端配置幾十甚至上百根天線的大維度(Large-Dimension)MIMO(亦稱Large-MIMO)通信系統(tǒng)引起了廣泛關(guān)注。同時(shí),頻率選擇性MIMO亦可等效成一個(gè)大維度MIMO系統(tǒng)?臻g調(diào)制是新近提出的一種多天線復(fù)用結(jié)構(gòu),它具有更高的發(fā)送端能量效率。大維度MIMO和空間調(diào)制都面臨的一個(gè)重要問題是如何設(shè)計(jì)高效的信號(hào)檢測算法。針對(duì)空間復(fù)用Large-MIMO,本文首先學(xué)習(xí)了動(dòng)態(tài)禁忌搜索算法以及分層禁忌搜索算法。動(dòng)態(tài)禁忌搜索算法和分層禁忌搜索算法分別在低階調(diào)制和高階調(diào)制場景下能夠獲得漸進(jìn)最佳檢測性能,但也存在所需迭代次數(shù)大而導(dǎo)致的計(jì)算復(fù)雜度高的問題。因此,接下來,本文學(xué)習(xí)了格規(guī)約輔助線性檢測算法,該算法通過使信道傳輸矩陣更正交化以提高線性檢測的性能,相比動(dòng)態(tài)禁忌搜索算法和分層禁忌搜索算法,具有更好的性能復(fù)雜度折中。針對(duì)頻率選擇性MIMO,本文首先學(xué)習(xí)了加循環(huán)前綴的頻率選擇性MIMO系統(tǒng)的動(dòng)態(tài)禁忌搜索算法。然后研究了采用補(bǔ)零的頻率選擇性MIMO信號(hào)檢測算法。具體的,提出了雙向判決檢測、M算法以及基于因子圖的高斯近似檢測等算法。針對(duì)空間調(diào)制,本文首先提出了一種改進(jìn)的空間調(diào)制檢測算法,該算法對(duì)已有的排序分塊最小均方誤差算法的可靠度度量計(jì)算進(jìn)行修改,使其在正交幅度調(diào)制下具有更好的檢測性能。另外,針對(duì)一種稱為廣義空時(shí)移位鍵控的空間調(diào)制結(jié)構(gòu),提出了兩種低復(fù)雜度檢測算法:排序的連續(xù)球形譯碼和圖樣約束序貫蒙特卡羅方法。
[Abstract]:Multiple-input multiple-output (MIMO) systems can achieve high spectral efficiency and high transmission reliability without increasing system bandwidth and transmitting signal power. Recently, with the in-depth study of 5G technology, the large-dimension MIMO (Large-Dimension) MIMO (also called Large-MIMO) communication system of hundreds or even hundreds of antennas has attracted wide attention. Meanwhile, frequency selective MIMO can also be equivalent to a large-dimension MIMO system. spatial modulation is a newly proposed multi-antenna multiplexing structure with higher transmission end energy efficiency. An important problem in large-dimension MIMO and spatial modulation is how to design efficient signal detection algorithm. For spatial multiplexing Large-MIMO, this paper firstly studies the dynamic tabu search algorithm and the hierarchical tabu search algorithm. The dynamic tabu search algorithm and the hierarchical tabu search algorithm can obtain the progressive best detection performance under low-order modulation and high-order modulation scenarios, but also have the problems of high computational complexity due to the large number of iterations needed. Therefore, this paper studies the auxiliary linear detection algorithm of lattice protocol, which improves the performance of linear detection by orthogonalizing the channel transmission matrix, compared with the dynamic tabu search algorithm and the hierarchical tabu search algorithm, and has a better compromise of performance complexity. For frequency selective MIMO, this paper firstly studies the dynamic tabu search algorithm of frequency selective MIMO system with cyclic prefix. Then a frequency selective MIMO (MIMO) signal detection algorithm is studied. In particular, two-way decision detection, M-algorithm and Gaussian approximation algorithm based on factor graph are proposed. In view of spatial modulation, this paper firstly proposes an improved spatial modulation detection algorithm, which modifies the reliability metric calculation of the existing sequencing block minimum mean square error algorithm so as to have better detection performance under orthogonal amplitude modulation. In addition, for a spatial modulation structure called generalized null shift keying, two low complexity detection algorithms are proposed: sequential spherical decoding and pattern constrained sequential Monte Carlo method.
【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)】:TN911.3;TN919.3

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