MIMO系统中基于斜投影的盲空时多用户检测算法

针对多输入多输出(multiple input multiple output, MIMO)的码分多址(code division multiple access, CDMA)系统,提出了一种基于斜投影的盲空时多用户检测算法。该算法结合MIMO系统的空间分集技术与Alamouti空时分组码 (space time block coding, STBC)方案,自适应地跟踪干扰子空间和多天线信道,在此基础上对接收信号进行斜投影抑制多址干扰(multiple access interference, MAI),解决了传统的基于子空间的最小均方误差(minimum mean square error, MMSE)盲空时多用户检测算法收敛速度慢和强干扰的情况下稳态性能低的问题,提高了多用户检测的鲁棒性,且计算复杂度较低。仿真结果表明该算法的有效性。     

分布式OFDM-MIMO雷达MTI处理

分布式频分正交复用多输入多输出雷达(orthogonal frequency division multiplexing multiple input multiple output,OFDM MIMO)是一种新型雷达系统。针对该雷达的杂波抑制问题,建立了该雷达的回波模型,分析了空间分集和发射频率分集对改善因子的影响,给出了该雷达的动目标显示(meving target indication,MTI)杂波抑制方法,并分析了提出方法的性能。较之传统发射相同载频信号的MIMO雷达,分布式OFDM MIMO雷达由于频率分集带来的处理自由度能改善多普勒频率落入MTI滤波器凹口的目标的检测能力。理论和仿真实验证实了提出方法的有效性。     

MIMO-OFDM系统多基站协作传输的盲定时同步算法

提出了一种用于多基站协作传输多输入多输出（multiple input multiple output, MIMO）正交频分复用（orthogonal frequency division multiplexing, OFDM）系统的分布式多天线盲定时同步算法,利用接收信号的循环平稳特性,根据天线间时延导致的接收信号循环自相关函数谱峰的偏移量得到天线间的时延差值。采用一种基于滑动窗的检测算法,得到各天线时延值。仿真结果表明,该算法在无须额外同步数据的情况下,能有效地解决分布式定时问题。     

上行MIMO MC-CDMA系统联合的检测

将多输入多输出（MIMO）技术应用于传统的MC-CDMA方案,构成MIMO MC-CDMA系统,能在很大程度上提高MC-CDMA方案的性能.提出了一种上行MIMO MC-CDMA系统联合的V-BLAST（Vertical-Bell Labs Layered Space-Time）和多用户检测算法,该算法首先分别对每个用户采用一种改进的基于最小均方误差（MMSE）的迭代干扰抵消V-BLAST检测获得两组不同的检测数据,然后联合所有的用户运用最大似然（ML）准则对迭代中间结果进行选择从而实现性能优化.仿真结果表明所提出算法显著提高了系统的误码率（BER）性能.     

基于模糊层次分析的MIMO/SA多天线系统算法性能评估方法

多输入多输出（multiple input and multiple output, MIMO）和智能天线（smart antenna, SA）是第四代移动通信系统的关键技术,其结合的MIMO/SA多天线系统所采用算法的不同,直接影响系统性能,准确评估MIMO/SA多天线系统的算法性能,对于实际应用十分重要。结合波达方向估计算法、空时编译码算法、波束成形算法的算法性能指标,应用模糊层次分析法建立了层次结构模型,确定了各算法性能指标的权重和隶属度,得到了MIMO/SA多天线不同实现方案中不同算法的模糊综合评估方法,进行了仿真验证。仿真结果表明,评价方法能在不同的MIMO/SA多天线实现方案中选择出优化方案,对MIMO/SA多天线系统的方案设计与算法实现有较好的参考价值。     

MIMO模型下的多元混合调制DCSK方案

为了提升多输入多输出差分混沌移位键控(multiple input multiple output difference chaotic shift keying, MIMO-DCSK)系统的误码性能, 提出一种多元混合调制MIMO-DCSK方案(M-ary hybrid modulation MIMO-DCSK, MHM-MIMO-DCSK)。首先，将一帧的多元信息拆分, 分别通过混沌扩频码和索引码进行调制, 以实现高效的传输。其次，接收端利用混沌序列的类正交特性消除多天线干扰和多路干扰。最后将多天线的相关运算结果等增益合并, 最终在不需要信道状态信息的前提下获取多径多输入多输出系统的全分集增益。仿真结果表明，所提MHM-MIMO-DCSK比现有的多元MIMO-DCSK拥有更好的误码性能, 尤其是在高阶调制情况下性能提升更明显。     

实部虚部索引广义频分复用多载波调制技术

为提高多载波调制的频谱效率,提出了一种名为实部虚部索引广义频分复用(generalized frequency division multiplexing with real and imaginary indices modulation,GFDM-RIIM)的新型多载波调制方案。该方案将广义频分复用(generalized frequency division multiplexing,GFDM)的子载波索引分为实部索引和虚部索引两部分,从而使系统可以携带更多的比特信息。给出了GFDM-RIIM的系统模型,并进行了复杂度分析、频谱效率分析和多径瑞利信道下的误比特率(bit error rate,BER)性能仿真。结果表明,所提方案的频谱效率和BER性能均优于现有的GFDM、索引调制广义频分复用、正交频分复用和滤波器组多载波方案。     

基于频控阵MIMO雷达的低复杂度稳健波束形成算法

频控阵(frequency diverse array, FDA)多输入多输出(multiple input multiple output, MIMO)雷达基于发射端调制而具备的距离维自由度为主瓣干扰提供了抑制方案。结合自适应波束形成算法, 频控阵MIMO雷达能有效抑制主瓣范围内欺骗干扰信号, 但存在的信号环境复杂、导向矢量失配、采样快拍不足等问题将使算法性能恶化。针对该问题,提出了一种基于频控阵的低复杂度的稳健自适应波束形成算法。仿真实验表明, 相比于其他自适应波束形成算法, 所提算法在低信噪比(signal to noise ratio, SNR)低采样快拍且存在导向矢量失配等非理想条件下形成的波束稳健性更强、计算复杂度更低, 有效实现了对目标的指示和对干扰的抑制, 克服了其他算法在非理想条件下性能恶化的问题。     

分布式OFDM-MIMO雷达非相参积累目标检测方法

针对目标雷达截面积(radar cross section, RCS)空间起伏,不易于常规雷达进行长时间积累检测的问题,结合正交频分复用(orthogonal frequency division multiplexing, OFDM)波形与分布式多输入多输出(multiple input multiple output, MIMO)雷达的特点,提出了一种基于分布式OFDM MIMO雷达的非相参积累目标检测方法。该方法使获得的多路回波信号短时间内非相参并行处理,削弱了长时间积累、复杂的相位补偿以及RCS快起伏对检测性能的影响,有效实现了多个目标的积累和检测。仿真结果证实了提出方法的有效性。     

基于微小型无人机的双极化天线空频编码分集方法

针对微小型无人机的特点,提出了采用双极化天线结合空频编码的多收发(multiple-input multiple-output, MIMO)技术提高数据链抗衰落能力的方法。该方法在空域上借助双极化天线进行空域分集,在频域上利用正交频分复用(orthogonal frequency division multiplexing, OFDM)的多载波的频谱特点实现频域分集;同时给出了双极化全向天线的工程化设计方法。仿真结果表明,相比与单发单收(single-input single-output, SISO)的传统数据链体制,该方法可以有效地增强通信系统的抗多径能力,并且在高速条件下具有比空时分组编码(space time block code, STBC)更优越的分集效果,可以提高微小型无人机在低仰角下的抗衰落性能,在无人机的高速数据传输领域有着广阔的工程应用前景。     

Improved MIMO-OFDM scheme for the next generation WLAN

The research and application of wireless local area networks (WLAN) technology are in a stage of rapid development. It has been one of research focuses of the wireless communications field. Through the use of enhanced single-user (SU)/multi-user (MU) multiple input multiple output (MIMO)-orthogonal frequency division multiplexing (OFDM) technology, the next generation WLAN IEEE 802.11ac dramatically increases the throughput. An improved MIMO-OFDM scheme based on modulation diversity is proposed for the next generation WLAN. It uses two-dimensional modulation diversity to the current IEEE 802.11ac transmission scheme. Through the space-time-frequency component interleaver and the rotational modulation, the proposed scheme exhibits high spectral efficiency and low error rate in fading channels. The simulation results show that the proposed scheme significantly outperforms the SU/MU MIMO-OFDM scheme in the current IEEE 802.11ac standard, which is up to 5 dB.     

Compressive sensing based multiuser detector for massive MBM MIMO uplink

Media based modulation(MBM)is expected to be a prominent modulation scheme,which has access to the high data rate by using radio frequency(RF)mirrors and fewer transmit antennas.Associated with multiuser multiple input multiple output(MIMO),the MBM scheme achieves better performance than other conventional multiuser MIMO schemes.In this paper,the massive MIMO uplink is considered and a conjunctive MBM transmission scheme for each user is employed.This conjunctive MBM transmission scheme gathers aggregate MBM signals in multiple continuous time slots,which exploits the structured sparsity of these aggregate MBM signals.Under this kind of scenario,a multiuser detector with low complexity based on the compressive sensing(CS)theory to gain better detection performance is proposed.This detector is developed from the greedy sparse recovery technique compressive sampling matching pursuit(CoSaMP)and exploits not only the inherently distributed sparsity of MBM signals but also the structured sparsity of multiple aggregate MBM signals.By exploiting these sparsity,the proposed CoSaMP based multiuser detector achieves reliable detection with low complexity.Simulation results demonstrate that the proposed CoSaMP based multiuser detector achieves better detection performance compared with the conventional methods.     

基于FRFT的单基地MIMO雷达稳健波束形成算法

以单基地多输入多输出(multiple input multiple output, MIMO)雷达系统为研究对象, 针对线性调频(linear frequency modulation, LFM)形式的正交频分复用(orthogonal frequency division multiplexing, OFDM)信号, 提出了一种新的稳健自适应波束形成算法。所提算法首先利用LFM信号的特性, 对匹配滤波后的雷达回波信号进行分数阶傅里叶变换(fractional Fourier transform, FRFT), 经化简得到峰值点作为阵列的观测值。而后, 利用观测值构建接收信号的协方差矩阵, 并使用Capon谱估计方法重构干扰加噪声数据协方差矩阵。最后, 通过求解优化问题估计实际导向矢量, 从而得到阵列的最优权值。通过计算机仿真实验, 验证了所提算法的有效性。     

Lattice-reduction-aided MMSE precoding for correlated MIMO channels and performance analysis

The lattice-reduction (LR) has been developed to improve the performance of the zero-forcing (ZF) precoder in multiple input multiple output (MIMO) systems. Under the assumptions of uncorrelated flat fading channel model and perfect channel state information at the transmitter (CSIT), an LR-aided ZF precoder is able to collect the full transmit diversity. With the complex LenstraLenstra-Lova′sz (LLL) algorithm and limited feedforward structure, an LR-aided linear minimum-mean-square-error (LMMSE) precoder for spatial correlated MIMO channels and imperfect CSIT is proposed to achieve lower bit error rate (BER). Assuming a time division duplexing (TDD) MIMO system, correlated block flat fading channel and LMMSE uplink channel estimator, it is proved that the proposed LR-aided LMMSE precoder can also obtain the full transmit diversity through an analytical approach. Furthermore, the simulation results show that with the quadrature phase shift keying (QPSK) modulation at the transmitter, the uncoded and coded BERs of the LR-aided LMMSE precoder are lower than that of the traditional LMMSE precoder respectively when E b / N0 is greater than 10 dB and 12 dB at all correlation coefficients.     

Hybrid pilots assisted channel estimation algorithm for MIMO-OFDM systems

Abstract: A hybrid pilots assisted channel estimation algorithm for multiple input multiple output (MIMO) orthogonal frequency division multiplexing (OFDM) systems under low signal-to-noise ratio (SNR) and arbitrary Doppler spread scenarios is proposed. Motivated by the dissatisfactory performance of the optimal pilots (OPs) designed under static channels over multiple OFDM symbols imposed by fast fading channels, the proposed scheme first assumes that the virtual pilot tones superimposed at data locations over specific subcarriers are transmitted from all antennas, then the virtual received pilot signals at the corresponding locations can be obtained by making full use of the time and frequency domain correlations of the frequency responses of the time varying dispersive fading channels and the received signals at pilot subcarriers, finally the channel parameters are derived from the combination of the real and virtual received pilot signals over one OFDM symbol based on least square (LS) criterion. Simulation results illustrate that the proposed method is insensitive to Doppler spread and can effectively ameliorate the mean square error (MSE) floor inherent to the previous method, meanwhile its performance outmatches that of OPs at low SNR region under static channels.     

基于GASA算法的DFCW-LFM波形设计

离散频率编码波形是一类常用的多输入多输出雷达波形,加入线性调频能够改善其自相关性能。将基于遗传算法和模拟退火的混合算法用于离散频率编码线性调频(discrete frequency coding waveform linear frequency modulation, DFCW-LFM)波形的优化设计,仿真结果表明,用该优化算法得到的信号其相关性能要优于现有方法。另外,提出了一种改进的DFCW-LFM波形设计方法。该方法在DFCW-LFM波形的基础上,对频率编码子脉冲同时进行相位编码,构成DFCW-LFM和相位编码的混合波形,并采用混合算法对其进行优化设计。仿真结果表明,和已有的DFCW-LFM波形相比,所设计混合波形的相关性能得到了进一步改善。     

低分辨率ADC下MIMO-OFDM系统中的广义Turbo信号检测

针对高分辨率模数转换器(analog-to-digital converter,ADC)接收机给大规模多输入多输出(multiple input multiple output,MIMO)系统带来的硬件成本昂贵和高功耗问题,研究了低分辨率ADC在毫米波MIMO正交频分复用(orthogonal frequency di...     

双基地MIMO雷达相干脉冲串的参数估计性能

研究了双基地多输入多输出(multiple input multiple output, MIMO)雷达发射相干脉冲串时的参数估计性能,推导对Swerling I和Swerling II目标的去波方向(direction of departure, DOD)、波达方向(direction of arrival, DOA)和多普勒频移联合估计的克拉美罗界(Cramer Rao bound, CRB),并分析发射脉冲为正交频分线性调频信号时,各参数对CRB的影响。结果表明对Swerling I和Swerling II目标的DOD和DOA均可做出较理想的估计,Swerling I目标更优,可较好地估计Swerling I目标的多普勒频移,但难以估计Swerling II目标的多普勒频移。