广义空间调制的低复杂度检测研究

发布时间：2018-04-25 04:05

本文选题：广义空间调制 + 信号检测　；参考：《哈尔滨工业大学》2017年硕士论文

【摘要】：空间调制(Spatial Modulation,SM)技术被认为是一种未来移动网络中充满前景的新型MIMO传输技术。该技术能够以高功效低复杂度满足给定吞吐量要求,有效减少发射机射频链路(Radio Frequency,RF)数量。广义空间调制(Generalized Spatial Modulation,GSM)技术是空间调制技术的一种延伸。相较于空间调制,广义空间调制在每个符号时间激活的天线不止一根,虽然提高了传输速率但是也使信号的检测更加复杂。本文在介绍空间调制工作原理的基础上,归纳分析了空间调制技术的两大优点,即对射频链路的简化和频谱效率的提高。对空间调制尚存在的问题以及未来的发展进行了探讨。对于发射天线数量小于接收天线数量的超定系统中的广义空间调制,给出了格基规约辅助的线性检测的一般步骤。针对格理论对发射向量特殊的连续整数格点要求,提出了一种兼容性的8-QAM星座图,解决了格基规约辅助的线性检测与广义空间调制的兼容性问题。针对采用此8-QAM星座图的广义空间调制,证明了此方法能够达到满接收分集。针对格基规约算法复杂度难于精确计算的问题,提出一种近似的复杂度计算方法。通过BER性能仿真,验证了所提8-QAM在格基规约辅助的线性检测中相较于对比4-QAM和对比8-QAM的优势,单符号系统和多符号系统都能达到满接收分集以及此方法对相关性信道的健壮性。复杂度的仿真表明格基规约带来的运算量的增加基本可以忽略。对于发射天线数量大于接收天线数量的欠定系统中的广义空间调制,运用压缩感知(Compressive Sensing)的信号恢复算法,基于已有的基于经典的正交匹配追踪(Orthogonal Matching Pursuit,OMP)算法的增强型OMP检测方法,本文提出一种增强型分段正交匹配追踪(Stagewise Orthogonal Matching Pursuit,StOMP)检测方法,以一定误码率性能损失为代价,可以进一步降低检测复杂度。针对增强型正交匹配追踪算法存在的“错误地板”现象,又结合排序块最小均方误差(Ordered Block Minimum Mean-Squared Error,OB-MMSE)算法,提出一种基于正交匹配追踪的排序块最小均方误差算法。相较于OB-MMSE方法,仿真表明该方法在复杂度略微增加情况下,使得误码率性能有所提升。
[Abstract]:Spatial Modulation (SM) technology is considered to be a promising new MIMO transmission technology in future mobile networks. This technique can satisfy the requirement of given throughput with high efficiency and low complexity, and reduce the number of radio frequency radio frequency (RF) of transmitter RF link effectively. Generalized Spatial Modulation (GSM) technology is an extension of spatial modulation technology. Compared with spatial modulation, generalized spatial modulation activates more than one antenna at each symbol time, which improves the transmission rate but also makes the detection of signals more complicated. On the basis of introducing the working principle of spatial modulation, two advantages of spatial modulation are summarized and analyzed in this paper, that is, the simplification of RF link and the improvement of spectral efficiency. The existing problems and future development of spatial modulation are discussed. For generalized spatial modulation in overdetermined systems with a number of transmitting antennas less than the number of receiving antennas, the general steps of linear detection assisted by the lattice basis protocol are given. A compatible 8-QAM constellation diagram is proposed to solve the compatibility problem between linear detection and generalized spatial modulation (GSM). For the generalized spatial modulation of the 8-QAM constellation, it is proved that this method can achieve full reception diversity. In order to solve the problem that it is difficult to calculate the complexity of lattice-based reduction algorithm, an approximate complexity calculation method is proposed. Through BER performance simulation, it is verified that the proposed 8-QAM can achieve full reception diversity in comparison with 4-QAM and 8-QAM in linear detection assisted by lattice-protocol, and the robustness of the proposed method to correlated channels can be achieved by both single-symbol system and multi-symbol system. The simulation of complexity shows that the increase of computation brought by lattice-base protocol can be neglected. For generalized spatial modulation in underdetermined systems with more transmitting antennas than receiving antennas, an enhanced OMP detection method based on classical orthogonal Matching pursuit (orthogonal Matching pursuit) algorithm is proposed. In this paper, an enhanced segmented orthogonal matching tracking (StageWise Orthogonal Matching pursuit Stomp) detection method is proposed, which can further reduce the detection complexity at the cost of a certain bit error rate (BER) performance loss. Aiming at the phenomenon of "wrong floor" in enhanced orthogonal matching tracking algorithm, and combining the ordered Block Minimum Mean-Squared error OB-MMSE algorithm, a sort block minimum mean square error algorithm based on orthogonal matching tracking is proposed. Compared with the OB-MMSE method, the simulation results show that the proposed method can improve the bit error rate (BER) performance with a slight increase in complexity.
【学位授予单位】：哈尔滨工业大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TN911.3

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