雙向無線中繼信道MIMO-PNC信號檢測技術研究
發(fā)布時間：2018-10-21 20:38
【摘要】：21世紀初網(wǎng)絡編碼理論取得了突破性進展,物理層網(wǎng)絡編碼技術利用了無線環(huán)境下電磁波的廣播特性,將中繼節(jié)點也納入編碼的范圍,使其不僅僅只具有存儲轉發(fā)功能,從而提高了網(wǎng)絡吞吐量并可提高系統(tǒng)的魯棒性,其在安全性和功率消耗方面也有一定的性能提升。MIMO技術通過在收發(fā)兩端增加天線的數(shù)目形成并行的鏈路提升網(wǎng)絡容量并能夠通過分集復用等技術提高可靠性。以上兩種技術的結合是本文的研究重點。本文對無線通信領域一個典型的應用場景——雙向中繼信道模型做了系統(tǒng)的研究,并詳細介紹了物理層網(wǎng)絡編碼技術和映射方案。在闡述該模型的基礎上,將MIMO和PNC技術結合應用到雙向無線中繼信道上,相比于單純的單天線網(wǎng)絡,其在吞吐量和可靠性方面都有更好的性能,但同時更多的天線數(shù)目和更加復雜的編碼技術也會帶來一系列問題,在接收端信號的檢測是其中的難點,天線數(shù)目越多,信號之間的干擾就越嚴重,檢測時如何減少其他信號的干擾和減少錯誤傳播現(xiàn)象是設計檢測算法的關鍵。傳統(tǒng)的MIMO-PNC檢測算法包括ZF檢測、MMSE檢測、SIC檢測和ML檢測等,ZF和MMSE檢測是線性檢測算法,算法簡單但性能一般,而ML檢測雖是最優(yōu)檢測但復雜度過高實用性較差,第四章在串行干擾消除的思想基礎上提出了一種新的檢測算法QR-GSIC算法,實現(xiàn)了在不顯著增加復雜度的基礎上提升檢測性能,并通過Matlab仿真軟件進行了性能分析。格基規(guī)約輔助檢測在進行信號檢測時能夠減少信道矩陣的條件數(shù)從而減小噪聲的干擾,將其中的LLL算法與QR-GSIC算法結合,從抑制噪聲方面提高檢測性能,并通過仿真驗證了改進后的QR-GSIC+LLL算法能夠進一步提高QR-GSIC的檢測性能。本文從MIMO與PNC出發(fā),以雙向無線中繼信道為平臺,重點研究了MIMO-PNC的適用性,并解決MIMO-PNC在信號檢測上的難點,對經(jīng)典的算法做了回顧并提出了一些改進算法和思路,并通過仿真驗證了改進后算法的優(yōu)良性能。
[Abstract]:At the beginning of the 21st century, network coding theory has made a breakthrough. The physical layer network coding technology takes advantage of the broadcast characteristics of electromagnetic waves in wireless environment and brings the relay nodes into the coding scope, so that it not only has the function of storage and forwarding. Thus, the network throughput is improved and the robustness of the system is improved. MIMO technology enhances network capacity by increasing the number of antennas at both ends of the transmitter and receiver to form parallel links to enhance network capacity and improve reliability through diversity multiplexing. The combination of the above two technologies is the focus of this paper. In this paper, the bidirectional relay channel model, a typical application scene in wireless communication field, is systematically studied, and the physical layer network coding technology and mapping scheme are introduced in detail. Based on this model, the combination of MIMO and PNC technology is applied to two-way wireless relay channel. Compared with the single antenna network, it has better performance in throughput and reliability. But at the same time, more antennas and more complex coding technology will also bring a series of problems, in which the detection of signals at the receiving end is difficult. The more the number of antennas, the more serious the interference between the signals. How to reduce the interference of other signals and reduce the error propagation is the key to design the detection algorithm. Traditional MIMO-PNC detection algorithms include ZF detection, MMSE detection, SIC detection and ML detection. ZF and MMSE detection are linear detection algorithms. In chapter 4, based on the idea of serial interference cancellation, a new detection algorithm, QR-GSIC algorithm, is proposed, which improves the detection performance without significantly increasing the complexity, and analyzes the performance through the Matlab simulation software. In order to reduce the noise interference, the LLL algorithm is combined with the QR-GSIC algorithm to improve the detection performance, which can reduce the condition number of the channel matrix and reduce the noise interference when the signal is detected by the lattice-protocol auxiliary detection, and the algorithm is combined with the QR-GSIC algorithm to improve the detection performance. Simulation results show that the improved QR-GSIC LLL algorithm can further improve the detection performance of QR-GSIC. Based on MIMO and PNC, this paper focuses on the applicability of MIMO-PNC and solves the difficulties in signal detection of MIMO-PNC, and gives a review of the classical algorithms and puts forward some improved algorithms and ideas. The excellent performance of the improved algorithm is verified by simulation.
【學位授予單位】：哈爾濱工業(yè)大學
【學位級別】：碩士
【學位授予年份】：2014
【分類號】：TN919.3
本文編號：2286312
[Abstract]:At the beginning of the 21st century, network coding theory has made a breakthrough. The physical layer network coding technology takes advantage of the broadcast characteristics of electromagnetic waves in wireless environment and brings the relay nodes into the coding scope, so that it not only has the function of storage and forwarding. Thus, the network throughput is improved and the robustness of the system is improved. MIMO technology enhances network capacity by increasing the number of antennas at both ends of the transmitter and receiver to form parallel links to enhance network capacity and improve reliability through diversity multiplexing. The combination of the above two technologies is the focus of this paper. In this paper, the bidirectional relay channel model, a typical application scene in wireless communication field, is systematically studied, and the physical layer network coding technology and mapping scheme are introduced in detail. Based on this model, the combination of MIMO and PNC technology is applied to two-way wireless relay channel. Compared with the single antenna network, it has better performance in throughput and reliability. But at the same time, more antennas and more complex coding technology will also bring a series of problems, in which the detection of signals at the receiving end is difficult. The more the number of antennas, the more serious the interference between the signals. How to reduce the interference of other signals and reduce the error propagation is the key to design the detection algorithm. Traditional MIMO-PNC detection algorithms include ZF detection, MMSE detection, SIC detection and ML detection. ZF and MMSE detection are linear detection algorithms. In chapter 4, based on the idea of serial interference cancellation, a new detection algorithm, QR-GSIC algorithm, is proposed, which improves the detection performance without significantly increasing the complexity, and analyzes the performance through the Matlab simulation software. In order to reduce the noise interference, the LLL algorithm is combined with the QR-GSIC algorithm to improve the detection performance, which can reduce the condition number of the channel matrix and reduce the noise interference when the signal is detected by the lattice-protocol auxiliary detection, and the algorithm is combined with the QR-GSIC algorithm to improve the detection performance. Simulation results show that the improved QR-GSIC LLL algorithm can further improve the detection performance of QR-GSIC. Based on MIMO and PNC, this paper focuses on the applicability of MIMO-PNC and solves the difficulties in signal detection of MIMO-PNC, and gives a review of the classical algorithms and puts forward some improved algorithms and ideas. The excellent performance of the improved algorithm is verified by simulation.
【學位授予單位】：哈爾濱工業(yè)大學
【學位級別】：碩士
【學位授予年份】：2014
【分類號】：TN919.3
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