雙向無(wú)線中繼信道MIMO-PNC信號(hào)檢測(cè)技術(shù)研究
[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(xué)位授予單位】:哈爾濱工業(yè)大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2014
【分類號(hào)】:TN919.3
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