Mimo Signal(咪莫信号)研究综述
Mimo Signal 咪莫信号 - For distributing the MIMO signals, plastic optic fiber (POF) is a promising low-cost solution offering high data rates, easy deployment and inherent robustness against electromagnetic interference. [1] Full-Duplex Optical wireless system for simultaneous transmission and receiving of MIMO signal in both upstream and downstream. [2] We present an algorithm that efficiently performs blind decoding of MIMO signals. [3]对于分配 MIMO 信号，塑料光纤 (POF) 是一种很有前途的低成本解决方案，可提供高数据速率、易于部署和固有的抗电磁干扰鲁棒性。 [1] 全双工光无线系统，用于在上行和下行同时传输和接收 MIMO 信号。 [2] 我们提出了一种有效执行 MIMO 信号盲解码的算法。 [3]
Massive Mimo Signal 海量 Mimo 信号
According to the detection algorithm features for massive MIMO signals, Sect. [1] In this paper, a block extended coordinate descent algorithm is introduced for MMSE based soft-output massive MIMO signal detection, which exploits the simple inversion of small sub-Gram matrices to allow a low-complexity implementation. [2] We show that the massive MIMO signals can be expressed as a third-order (3-D) tensor model, where the matrices of channel (2-D DOA) and symbols can be viewed as two independent factor matrices. [3] However, the THz channel characteristics, including high-propagation path loss, frequency selectivity, and a big number of samples per channel impulse response, require carefully tailored algorithm for massive MIMO signal processing. [4] Massive MIMO signal detection is the key technology of next generation wireless communication (such as 5G). [5]根据海量 MIMO 信号的检测算法特点，Sect. [1] 在本文中，针对基于 MMSE 的软输出大规模 MIMO 信号检测引入了一种块扩展坐标下降算法，该算法利用小 sub-Gram 矩阵的简单求逆来实现低复杂度。 [2] 我们表明，大规模 MIMO 信号可以表示为三阶 (3-D) 张量模型，其中信道 (2-D DOA) 和符号矩阵可以视为两个独立的因子矩阵。 [3] 然而，太赫兹信道特性，包括高传播路径损耗、频率选择性和每个信道脉冲响应的大量样本，需要精心定制的大规模 MIMO 信号处理算法。 [4] 大规模 MIMO 信号检测是下一代无线通信（如 5G）的关键技术。 [5]
Complex Mimo Signal 复杂的 Mimo 信号
However, due to the complex MIMO signal model, the optimal solution to the joint MIMO detection and channel decoding problem (i. [1] However, due to the complex MIMO signal model, the optimal solution to the joint MIMO detection and channel decoding problem (i. [2]然而，由于复杂的 MIMO 信号模型，联合 MIMO 检测和信道解码问题的最优解（i. [1] 然而，由于复杂的 MIMO 信号模型，联合 MIMO 检测和信道解码问题的最优解（i. [2]
mimo signal processing Mimo 信号处理
We propose Null-While-Talk(NWT) which suggests that LTE-U BSs employ MIMO signal processing to create coexistence gaps in space domain in addition to the time domain gaps by means of cross-technology interference nulling towards WiFi nodes in the interference range. [1] Layered MIMO signal processing comprising multiple stages performing successive signal detection and intermodal interference canceling mitigated MDL impact with more than 2-dB Q-factor improvement. [2] In order to exploit all possible types of source signal statistics (1), our considerations are based on TRINICON, a previously introduced generic framework for broadband blind (and semi-blind) adaptive MIMO signal processing. [3] A comparison between fully digital and hybrid MIMO signal processing in terms of the used hardware is also presented. [4] In particular, the combination of analog beamforming and digital MIMO signal processing for the multi-beam multiplexing is a promising approach in order to reduce the computational complexity and power consumption. [5] However, the THz channel characteristics, including high-propagation path loss, frequency selectivity, and a big number of samples per channel impulse response, require carefully tailored algorithm for massive MIMO signal processing. [6]我们提出了 Null-While-Talk (NWT)，这表明 LTE-U BS 采用 MIMO 信号处理，通过在干扰范围内对 WiFi 节点进行跨技术干扰归零来创建时域间隙以及时域间隙中的共存间隙. [1] 分层 MIMO 信号处理包括执行连续信号检测和多模干扰消除的多个阶段，通过超过 2-dB 的 Q 因子改进减轻了 MDL 影响。 [2] 为了利用所有可能类型的源信号统计 (1)，我们的考虑基于 TRINICON，这是先前引入的用于宽带盲（和半盲）自适应 MIMO 信号处理的通用框架。 [3] 还介绍了在使用的硬件方面全数字和混合 MIMO 信号处理之间的比较。 [4] 特别是，模拟波束成形和数字 MIMO 信号处理的组合用于多波束复用是一种很有前途的方法，可以降低计算复杂度和功耗。 [5] 然而，太赫兹信道特性，包括高传播路径损耗、频率选择性和每个信道脉冲响应的大量样本，需要精心定制的大规模 MIMO 信号处理算法。 [6]
mimo signal detection Mimo 信号检测
In this paper, a block extended coordinate descent algorithm is introduced for MMSE based soft-output massive MIMO signal detection, which exploits the simple inversion of small sub-Gram matrices to allow a low-complexity implementation. [1] This chapter first introduces several conventional nonlinear MIMO signal detection algorithms in Sect. [2] Massive MIMO signal detection is the key technology of next generation wireless communication (such as 5G). [3]在本文中，针对基于 MMSE 的软输出大规模 MIMO 信号检测引入了一种块扩展坐标下降算法，该算法利用小 sub-Gram 矩阵的简单求逆来实现低复杂度。 [1] 本章首先介绍了 Sect 中几种常规的非线性 MIMO 信号检测算法。 [2] 大规模 MIMO 信号检测是下一代无线通信（如 5G）的关键技术。 [3]
mimo signal model Mimo 信号模型
However, due to the complex MIMO signal model, the optimal solution to the joint MIMO detection and channel decoding problem (i. [1] However, due to the complex MIMO signal model, the optimal solution to the joint MIMO detection and channel decoding problem (i. [2]然而，由于复杂的 MIMO 信号模型，联合 MIMO 检测和信道解码问题的最优解（i. [1] 然而，由于复杂的 MIMO 信号模型，联合 MIMO 检测和信道解码问题的最优解（i. [2]