LTE-TDD增强多天线系统波束成形技术研究及DSP实现
发布时间：2018-08-08 10:56
【摘要】：多输入多输出技术广泛应用于无线通信系统中，对空时编码和波束成形技术的研究表明，发射机利用先验信道状态信息，采用闭环MIMO中的波束成形技术或预编码技术可以进一步提高系统的传输质量，增加系统容量，这两项MIMO技术已在第三代移动通信系统标准和长期演进技术标准中得到了应用。 本文围绕LTE及其后续演进系统中波束成形技术，根据信道的互易性，主要研究了波束成形技术的基本理论、典型的波束成形算法、接收端的检测算法和波束成形技术在LTE中的应用，然后在飞思卡尔DSP硬件平台上实现了典型的波束成形技术-基于SVD分解的波束成形算法，最后对DSP实现性能进行了分析，，。 本文首先概述了无线通信的发展、LTE-TDD演进路线、概述了LTE-TDD系统的关键技术、介绍了LTE-TDD的物理层，并对LTE-TDD下行共享信道的处理流程进行了介绍。 其次介绍了MIMO-OFDM系统中波束成形技术的基本理论。首先分析了多天线系统、空时分组编码和波束成形系统的系统容量，突出了波束成形在系统容量上的优势。然后介绍了常用的波束成形技术算法：奇异值分解算法、几何均值分解算法、信道反转算法，并介绍了波束成形技术的复用方式、有限反馈下的波束成形技术和多用户波束成形技术。最后介绍了波束成形检测算法，主要有：迫零算法、最小均方误差算法、连续干扰消除算法和最大似然算法。并在简化的LTE-TDD下行共享信道下，通过仿真验证上述波束成形算法和检测算法，通过分析确定了适于DSP实现的波束成形算法和检测算法。 最后介绍了波束成形技术的DSP的实现。首先介绍了飞思卡尔DSP开发平台-MSC8156ADS，然后介绍了DSP实现的主要软件流程和主要实现函数。最后通过对DSP实现的波束成形技术进行的系统测试，结果表明DSP实现比MATLAB仿真大约损失2dB；并以代码执行效率和执行时间为指标对DSP的主要模块进行了评估，结果表明，代码执行时间为0.8928ms小于1ms，达到LTE系统所需的时延要求。 论文的最后一章总结了前面的研究工作并且指出了下一步可能的研究方向。
[Abstract]:Multi-input and multi-output technology is widely used in wireless communication systems. The research on space-time coding and beamforming shows that the transmitter uses prior channel state information. The beamforming or precoding technology in closed-loop MIMO can further improve the transmission quality and increase the system capacity. These two MIMO technologies have been applied in the third generation mobile communication system standards and the long-term evolution technology standards. This paper focuses on the beamforming technology in LTE and its subsequent evolution system. According to the reciprocity of channel, the basic theory of beamforming technology and typical beamforming algorithm are studied in this paper. The detection algorithm and beamforming technology of the receiver are applied in LTE. Then the typical beamforming technology based on SVD decomposition is implemented on the Freescale DSP hardware platform. Finally, the performance of DSP implementation is analyzed. In this paper, the evolution of LTE-TDD, the key technology of LTE-TDD system, the physical layer of LTE-TDD, and the processing flow of LTE-TDD downlink shared channel are introduced. Secondly, the basic theory of beamforming technology in MIMO-OFDM system is introduced. Firstly, the system capacity of multi-antenna system, space-time block coding and beamforming system is analyzed, which highlights the advantages of beamforming in system capacity. Then it introduces the commonly used beamforming algorithms: singular value decomposition algorithm, geometric mean decomposition algorithm, channel inversion algorithm, and introduces the multiplexing method of beamforming technology. Beamforming technology and multi-user beamforming technology under finite feedback. Finally, the beamforming detection algorithms are introduced, including zero forcing algorithm, minimum mean square error algorithm, continuous interference cancellation algorithm and maximum likelihood algorithm. Under the simplified LTE-TDD downlink shared channel, the beamforming algorithm and detection algorithm are verified by simulation, and the beamforming algorithm and detection algorithm suitable for DSP implementation are determined by analyzing and determining the beamforming algorithm and detection algorithm. Finally, the DSP implementation of beamforming technology is introduced. This paper first introduces Freescale DSP development platform-MSC8156ADS. then introduces the main software flow and main realization functions of DSP. Finally, through the system test of beamforming technology implemented by DSP, the results show that the DSP implementation is about 2 dB less than MATLAB simulation, and the main modules of DSP are evaluated with the index of code execution efficiency and execution time, and the results show that, The code execution time is less than 1 Ms for 0.8928ms, which meets the delay requirement of LTE system. The last chapter summarizes the previous research work and points out the possible future research direction.
【学位授予单位】：电子科技大学
【学位级别】：硕士
【学位授予年份】：2012
【分类号】：TN929.5;TP368.1
本文编号：2171577
[Abstract]:Multi-input and multi-output technology is widely used in wireless communication systems. The research on space-time coding and beamforming shows that the transmitter uses prior channel state information. The beamforming or precoding technology in closed-loop MIMO can further improve the transmission quality and increase the system capacity. These two MIMO technologies have been applied in the third generation mobile communication system standards and the long-term evolution technology standards. This paper focuses on the beamforming technology in LTE and its subsequent evolution system. According to the reciprocity of channel, the basic theory of beamforming technology and typical beamforming algorithm are studied in this paper. The detection algorithm and beamforming technology of the receiver are applied in LTE. Then the typical beamforming technology based on SVD decomposition is implemented on the Freescale DSP hardware platform. Finally, the performance of DSP implementation is analyzed. In this paper, the evolution of LTE-TDD, the key technology of LTE-TDD system, the physical layer of LTE-TDD, and the processing flow of LTE-TDD downlink shared channel are introduced. Secondly, the basic theory of beamforming technology in MIMO-OFDM system is introduced. Firstly, the system capacity of multi-antenna system, space-time block coding and beamforming system is analyzed, which highlights the advantages of beamforming in system capacity. Then it introduces the commonly used beamforming algorithms: singular value decomposition algorithm, geometric mean decomposition algorithm, channel inversion algorithm, and introduces the multiplexing method of beamforming technology. Beamforming technology and multi-user beamforming technology under finite feedback. Finally, the beamforming detection algorithms are introduced, including zero forcing algorithm, minimum mean square error algorithm, continuous interference cancellation algorithm and maximum likelihood algorithm. Under the simplified LTE-TDD downlink shared channel, the beamforming algorithm and detection algorithm are verified by simulation, and the beamforming algorithm and detection algorithm suitable for DSP implementation are determined by analyzing and determining the beamforming algorithm and detection algorithm. Finally, the DSP implementation of beamforming technology is introduced. This paper first introduces Freescale DSP development platform-MSC8156ADS. then introduces the main software flow and main realization functions of DSP. Finally, through the system test of beamforming technology implemented by DSP, the results show that the DSP implementation is about 2 dB less than MATLAB simulation, and the main modules of DSP are evaluated with the index of code execution efficiency and execution time, and the results show that, The code execution time is less than 1 Ms for 0.8928ms, which meets the delay requirement of LTE system. The last chapter summarizes the previous research work and points out the possible future research direction.
【学位授予单位】：电子科技大学
【学位级别】：硕士
【学位授予年份】：2012
【分类号】：TN929.5;TP368.1
【参考文献】
相关硕士学位论文 前4条
1 周智勋;基于信道互易性的波束成形算法研究[D];电子科技大学;2011年
2 王阶;MIMO系统中信道估计技术研究[D];电子科技大学;2005年
3 刘宁;MIMO-OFDM系统下波束成形技术研究[D];电子科技大学;2008年
4 顿玉成;空间信道建模仿真研究[D];西安电子科技大学;2008年
本文编号：2171577
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