基于期望传播算法的多天线信号检测：架构、技术与挑战

近年来,期望传播(Expectation Propagation,EP)算法被广泛应用于多输入多输出(Multiple-Input Multiple-Output,MIMO)信号检测。EP是一种优良的贝叶斯推断算法,能够良好匹配信号检测工作所对应的贝叶斯模型,是目前接近最优检测算法的先进检测算法之一。面向6G,EP可在诸多场景达成高性能信号检测,对未来超高可靠通信需求提供支撑,具有实际研究意义。然而,当前研究缺乏该算法的综述性分析,相关研究人员缺乏直观学习参考。概述了基于期望传播算法的MIMO信号检测架构以及相关技术研究现状,总结了现有问题并展望了未来研究挑战,旨在为相关研究人员提供思路,为EP信号检测算法服务6G实际通信场景做出贡献。     

一种对MIMO雷达侦察识别的新方法

多输入多输出（MIMO）雷达作为一种新体制雷达,能够利用分集技术来改善雷达的性能。介绍了MIMO雷达的特点和常规的雷达信号分选方法,分析了它们对MIMO雷达信号进行分选的适用性,提出了一种采用奇异值分解和盲信号处理的方法对MIMO雷达进行侦察识别,通过仿真结果验证了该方法的有效性。     

Robust angle estimation method for noncircular targets in MIMO radar with mutual coupling

A robust angle estimation method for noncircular targets based on unitary tensor decomposition with mutual coupling in multiple-input multiple-output (MIMO) radar was proposed.Firstly,utilizing the banded symmetric Toeplitz structure of the mutual coupling matrix to eliminate the influence of unknown mutual coupling in tensor field.Then a special augmented tensor was constructed to capture the no circularity and its inherent tensor multidimensional structure of noncircular signals.And taking advantage of the centro-Hermitian characteristic of the augmented tensor to transform the sub-tensor into real-values tensor by the unitary transformation.Finally,the signal subspace estimation based on tensor was obtained by taking advantage of the higher-order singular value decomposition (HOSVD) technology,and then the direction-of-departure (DoD) and direction-of-arrival (DoA) estimation was obtained by utilizing the real-values subspace technology.Due to the consideration of both the noncircularity and multidimensional structure,the proposed algorithm has better recognition performance than the existing angle estimation methods.At the same time,the proposed algorithm only requires real-valued operations and has lower computational complexity.Simulation experiments verify the effectiveness and superiority of the proposed algorithm.     

基于单通道MIMO雷达的毫米波安检成像

毫米波多入多出（MIMO）雷达是一种前沿的安检成像技术。然而,由于采用了大量的发射/接收通道,MIMO雷达的成本和复杂度大大高于传统的单通道雷达。为了研制低成本、低复杂度的毫米波MIMO安检成像雷达,引入了双重码分复用技术。该方法可通过单发射/接收通道实现与传统多通道MIMO雷达相似的成像性能,对安检成像领域的发展和应用具有重要意义。此外,设计了基于失配滤波器理论的解复用码,其可在干扰条件下实现最大码分集增益。进行了仿真与实验以验证所提出方法的正确性与有效性,得到了满意的结果。     

A survey on user-centric cell-free massive MIMO systems

The mobile data traffic has been exponentially growing during the last several decades. This was enabled by the densification of the network infrastructure in terms of increased cell density (i.e., Ultra-Dense Network (UDN)) and/or the increased number of active antennas per Access Point (AP) (i.e., massive Multiple-Input Multiple-Output (mMIMO)). However, neither UDN nor mMIMO will meet the increasing demand for the data rate of the Sixth Generation (6G) wireless communications due to the inter-cell interference and large quality-of-service variations. Cell-Free (CF) mMIMO, which combines the best aspects of UDN and mMIMO, is viewed as a key solution to this issue. In such systems, each User Equipment (UE) is served by a preferred set of surrounding APs cooperatively. In this paper, we provide a survey of the state-of-the-art literature on CF mMIMO. As a starting point, the significance and the basic properties of CF mMIMO are highlighted. We then present the canonical framework to discuss the essential details (i.e., transmission procedure and mathematical system model). Next, we provide a deep look at the resource allocation and signal processing problems related to CF mMIMO and survey the up-to-date schemes and algorithms. After that, we discuss the practical issues in implementing CF mMIMO and point out the potential future directions. Finally, we conclude this paper with a summary of the key lessons learned in this field.     

光子辅助的宽带太赫兹通信技术

首先,介绍了光子辅助的宽带太赫兹通信系统中的关键技术.然后,介绍了大容量和长距离太赫兹无线和有线通信技术方面的研究进展.采用这些关键技术,先后实现了太赫兹信号超过1 Tbit/s的无线传输,以及超过100 Gbit/s太赫兹信号在无太赫兹放大器的情况下无线传输54.6 m.最后,介绍了采用空芯光纤进行有线传输超过100...     

一种应用于802.11n系统的自适应树查找算法的VLSI实现

A 4×4 64-QAM multiple-input multiple-output(MIMO) detector is presented for the application of an IEEE 802.11n wireless local area network.The detector is the implementation of a novel adaptive tree search(ATS) algorithm,and multiple ATS cores need to be instantiated to achieve the wideband requirement in the 802.11n standard.Both the ATS algorithm and the architectural considerations are explained.The latency of the detector is 0.75 μs,and the detector has a gate count of 848 k with a total of 19 parallel ATS cores.Each ATS core runs at 67 MHz.Measurement results show that compared with the floating-point ATS algorithm,the fixed-point implementation achieves a loss of 0.9 dB at a BER of 10-3.     

衰落信道上空频分组码的性能分析

对于任意抽头数的多输入多输出(MIMO)频率选择性Nakagami衰落信道,利用矩生成函数(MGF)方法和高斯Q函数的指数近似表达式,推导采用矩形M进制正交幅度调制(MQAM)的空频分组编码(SFBC)正交频分复用(OFDM)系统的平均误符号率(SER)性能的精确和近似解析表达式。数值计算和仿真结果证明了理论分析的正确性和近似分析的准确性。     

基于MMSE准则的MIMO多中继系统线性收发机设计

本文以放大转发MIMO多中继系统为研究对象,研究其联合线性收发机的优化设计问题,其基本思想是在中继的总发射功率约束下,最小化系统的均方误差(MSE).为降低系统复杂度,本文首先引入了乘积矩阵的奇异值分解,把收发机的设计简化为以奇异值向量和酉矩阵为优化变量的优化问题;接着利用变量替换并引入罚项,将简化后的问题转化成只有酉矩阵约束的优化问题.在此基础上,通过引入替换变量的欧氏梯度,设计了新的黎曼欧氏最陡下降算法,从而有效地处理酉矩阵约束.仿真结果表明,与传统的设计方法相比,本文提出的方案性能最优,最接近MSE下界.     

发射天线选择空时分组码的误符号率分析

研究瑞利衰落信道上使用发射天线选择和空时分组编码的多输入多输出系统的误码性能。使用矩生成函数法和Apell超几何函数、Lauricella多变量超几何函数,推导采用相干检测的M进制相移键控(MPSK)和广义矩形M进制正交幅度调制(GR-MQAM)的平均符号错误概率(SEP)的精确闭合表达式。数值计算结果表明:增加发射天线或/和接收天线数可以改善MIMO瑞利衰落上MPSK和GR-MQAM的平均SEP性能。