发射分集MC-CDMA系统盲干扰抑制

研究了多载波码分多址(MC-CDMA)系统的盲干扰抑制,采用基于空时分组码的发射分集。考虑对应于子载波的衰落系数是信道冲激响应的离散傅里叶变换,通过研究多径信号频域码空间和数据矢量空间,采用噪声子空间技术进行盲信道估计。为了抑制多址干扰(MAI),提出一种基于投影的辅助矢量算法(PAV),该算法计算复杂度低,在低输入信号干扰噪声比(SINR)时能提供有效的干扰抑制,在高输入SINR时具有稳健的性能。     

空时分组码MC-CDMA系统盲干扰抑制

该文考虑空时分组码多载波码分多址(MC-CDMA)系统的盲干扰抑制。通过研究多径信号频域码空间和数据矢量空间,采用噪声子空间技术进行盲信道估计。使用一种修改的ULV更新算法进行噪声子空间跟踪,该算法不需要相关矩阵的秩估计,直接估计噪声子空间。为了抑制多址干扰(MAI),提出一种基于投影的辅助矢量(PAV)算法,用前一级滤波矢量的输出重构最大比合并(MRC)滤波矢量,将重构滤波矢量到由基本滤波矢量和前几级辅助矢量张成子空间上的正交投影作为辅助矢量,将前一级滤波矢量和新产生辅助矢量线性合并得到新的滤波矢量。仿真结果验证了该文算法的有效性。     

基于谱分析的稳健自适应波束形成算法

针对在导向矢量存在误差情况下,自适应波束形成算法性能下降问题,提出一种基于谱分析的稳健自适应波束形成(SA-RAB)算法。算法利用空域与频域的对称性,根据真实导向矢量与理想导向矢量之间的误差,运用谱分析(SA)技术确定波束主瓣宽度,最后利用二阶锥规划(SOCP)技术在主瓣宽度内形成平顶响应,并在副瓣区域内进行干扰抑制。仿真结果表明:该算法可有效地抑制干扰,并输出理想的信号干扰噪声比(SINR),且提高了波束形成针对导向矢量误差的稳健性,验证了算法的有效性和优越性。     

MC-CDMA系统盲空时干扰抑制

该文研究在频率选择性瑞利衰落信道中MC-CDMA系统的盲空时干扰抑制。考虑对应于子载波的衰落系数是信道冲激响应的离散傅里叶变换,通过研究多径信号频域码空间和数据矢量空间,采用噪声子空间技术进行盲信道估计。为了抑制多址干扰(MAI),提出一种基于投影的辅助矢量(PAV)算法,用前一级滤波矢量的输出重构最大比合并(MRC)滤波矢量,将重构滤波矢量投射到由基本滤波矢量和前几级辅助矢量张成子空间上的正交投影作为辅助矢量,将前一级滤波矢量和新产生辅助矢量线性合并得到新的滤波矢量。仿真结果验证了该算法的有效性。     

异步DS-CDMA系统盲空时信道估计及多用户检测

该文提出了适用于频率选择性瑞利衰落信道中的异步DS-CDMA系统盲空时信道估计及多用户检测算法。通过研究多径信号码空间和数据矢量空间,采用噪声子空间技术进行异步DS-CDMA系统盲空时信道参数估计,同时利用了多径传播和接收机同步失调的特性,以利于把盲线性滤波优化技术应用于稳健的干扰抑制。使用一种修改的ULV更新算法进行噪声子空间跟踪,该算法不需要相关矩阵的秩估计,直接估计噪声子空间,不进行信号子空间跟踪。并且研究了线性约束最小方差(LCMV)盲空时多用户检测及其基于Householder变换约束最小均方算法(HCLMS)的自适应实现。仿真结果验证了该文算法的有效性。     

一种基于正交加权约束的GPS抗干扰盲算法

针对GPS信号C/A码的周期重复特性,联合CAB算法和子空间技术提出了一种盲自适应波束形成方法。该算法通过将CAB算法的权矢量和控制矢量约束到干扰导向矢量的正交补空间内,使之在期望信号方向上产生高的增益,并在干扰方向上形成零陷。该方法具有盲处理、收敛速度快和低计算复杂度等优点。仿真结果证明了算法的有效性。     

零陷优化的稳健波束形成算法

传统的自适应波束形成算法在干扰方向出现扰动且期望信号导向矢量失配时,不仅无法持续有效地抑制干扰,而且会在期望信号方向产生零陷致使期望信号相消,算法性能严重下降。针对该问题,本文提出了一种零陷优化的稳健波束形成算法。该算法首先通过干扰导向矢量的左右旋转来展宽零陷,接着将采样数据向干扰子空间投影,并对干扰分量进行加权处理以增强采样数据中的干扰强度,加深干扰零陷,最后采用导向矢量不确定集约束算法保证期望信号的接收增益。计算机仿真结果表明:该算法能够有效展宽干扰零陷,并能够保证期望信号增益,具有较好的稳健性。      

基于改进不确定集的稳健波束形成算法

基于不确定集约束的稳健MVDR波束形成算法在一定程度上依赖于期望信号导向矢量误差的先验知识,且当导向矢量失配较严重时干扰抑制性能也有所下降。为此,提出了一种基于投影变换的改进算法。该方法将约束方向矢量向信号干扰子空间投影,并作为新的约束方向矢量,从而等效于减小了期望信号导向矢量误差。这样,误差不确定参数只需设置为一较小的实数即可在任意导向矢量失配时获得最优的输出性能。计算机仿真结果证明了所提波束形成器具有较强的稳健性能。     

基于初相匹配滤波的有源欺骗干扰抑制

针对有源欺骗干扰提出了一种新型的基于初相匹配滤波的干扰抑制方法.首先,基于相参雷达接收机匹配滤波器得到脉压信号矩阵.其次结合该矩阵中目标和干扰脉压尖峰矢量,基于最大平均信号干扰能量比（信干比）输出推导出了初相匹配滤波的响应函数解析式,形成了基于有源欺骗干扰抑制的初相匹配滤波算法.该算法在保证目标脉压尖峰矢量不损失的前提下具有较好的抗干扰改善因子.仿真结果表明当雷达发射脉冲串脉冲数为60时,在Swerling I目标起伏下,该算法抗干扰改善因子（干扰抑制深度）为20dB左右.在SwerlingⅡ目标起伏下,该算法干扰抑制深度为19dB左右.     

频分MIMO雷达分解迭代稳健自适应波束形成算法

频率分集雷达因其独特的距离依赖波束特性而受到广泛关注。针对频率分集雷达稳健波束形成问题,本文建立了二维频分子孔径MIMO(FDS-MIMO)雷达阵列信号模型,理论导出了基于等效载频的权向量分解解析解,提出了一种分解迭代的稳健自适应波束形成算法。为解决距离依赖波束栅瓣导致的周期性输出信干燥比(SINR)损失的问题,进一步提出了一种沿平面阵两方向互质的频率偏置方案。仿真结果表明,与传统算法相比在导向矢量存在失配的情况下,本文所提方法能够有效抑制输出SINR周期性损失,且具有计算复杂度低,训练样本需求少,抗导向误差失配稳健性强等优点。      

A Blind RAKE Receiver With Robust Multiuser Interference Cancelation for DS/CDMA Communications

In this paper, a blind RAKE receiver with robust multiuser access interference cancellation is presented for frequency-selective Rayleigh fading channels. In contrast to a conventional receiver, here, only knowledge of the spreading code and rough timing of the desired user is required. By investigating the code space of the multipath signals and the data vector space, a RAKE filtering vector is developed to extract the desired data from all the paths of the desired user. Our proposed technique not only exploits the characteristics of multipath propagation but also the characteristics of timing offsets that may occur in the receiver, to facilitate the application of a blind linear filter-optimization technique for robust interference suppression. Based on the RAKE filtering vector, interference rejection is implemented by using the auxiliary-vector (AV) technique. Our approach, however, effectively overcomes the sensitivity of the original AV method to multipath propagation and timing offsets. To mitigate the signal cancellation at relatively high signal-to-interference and noise ratios (SINR) resulting from the estimation errors of the RAKE filtering vector, robust strategies are introduced in addition to the linear filter optimization. Simulation results are presented to show the effectiveness of the proposed techniques.     

一种适用于大型阵列的递推干扰抑制算法

天线阵列在雷达与卫星通信中有着广泛的应用,它可以通过波束形成来抑制干扰.对于具有较多阵元数的大型阵列,普通的波束形成算法计算量很高.本文给出一种适用于大型阵列的递推干扰抑制算法,它是在波束空间分解最大信干噪比准则下基于干扰矢量进行变维递推处理,所需递推步数为干扰数,且每步递推中数据矩阵的维数很小,因而所需的总计算量较低.阵元数越多该递推算法的计算效率越高.仿真结果表明,该递推算法可以有效实现干扰抑制.     

Blind Multiple Access Interference Suppression Algorithm Based on Relaxed Subgradient Projection for DS/CDMA Systems

A novel blind multiple access interference suppression algorithm based on relaxed parallel subgradient projection is proposed for DS/CDMA systems. The qualification “relaxed” is manifest in two aspects: first, the new expression for updating the interference suppression filter coefficients vector relaxes paralleled projection fields and reduces computation complexity. In addition, the relaxation parameter in the updated process is adaptively determined to guarantee the interference suppression filter coefficients vector falling into fields containing the optimal filter coefficients vector after several iterations. Theoretical analysis and simulation results conclude that this algorithm has a fast convergence speed, steady interference suppression performance, low computation and low bit error rate.     

基于稀疏约束和SRV约束的宽带自适应波束形成

针对传统的宽带MVDR自适应波束形成中,抑制干扰的同时会抬高旁瓣电平,且过多的线性约束会导致波束输出的SINR性能下降的问题,提出了一种基于SRV约束和稀疏约束的低旁瓣、高增益宽带自适应波束形成方法.该方法在窄带MVDR自适应波束形成基础上,通过增加波束图稀疏约束来降低波束的旁瓣电平,同时利用空间响应偏差(SRV)约束将窄带算法推广到宽带MVDR 自适应波束形成中,极大地降低了算法的复杂度,改善了波束输出的SINR 性能.与传统方法相比,该方法在降低宽带波束的旁瓣电平的同时,还具有良好的干扰抑制效果.数值仿真实验验证了该方法的有效性.     

CDMA系统智能天线盲自适应波束形成

给出了基于最大化信号对干扰和噪声的功率比(MSINR)准则的盲自适应波束形成在线递推算法,旨在提高DS-CDMA系统中智能天线的性能.将MSINR准则转化为一种新的等价的无约束准则函数,通过最大化此准则函数来在线估计最优波束形成向量.算法直接利用了DS-CDMA系统解扩前和解扩后的观测信号,无须训练序列.通过在线迭代估计,降低了计算波束权值的复杂度.不同通信环境中的仿真结果表明,该算法具有较高的估计精度和很好的抗多址干扰能力.     

Robust uplink power control for co-channel two-tier femtocell networks

This paper is concerned with uplink interference suppression problem in two-tier femtocell networks through power control. Specifically, we consider the Quality-of-Service (QoS) of the macrocell user and femtocell users in terms of their received Signal to Interference-plus-Noise Ratios (SINRs) at macrocell base station (MBS) and femtocell base stations (FBSs), and we also take femtocell users’ power efficiency into consideration by designing an objective function, which is a weighted sum of transmission power and squared SINR difference between femtocell user's maximum SINR and actual SINR. Due to the error of the SINR at MBS caused by distance errors, a robust uplink power control problem is formulated, and it is equivalent to a robust convex optimization problem with femtocell users’ SINR constraints. Then, the robust convex optimization problem is converted into a general convex optimization problem. Moreover, a distributed power control algorithm combined with admission control is presented to obtain femtocell users’ optimal power allocation. Numerical results show the convergence and effectiveness of the proposed uplink power control algorithm.     

A Blind Synchronizer for OFDM Systems Based on SINR Maximization in Multipath Fading Channels

This paper presents a blind synchronizer for orthogonal frequency-division multiplexing (OFDM) systems based on signal-to-interference-and-noise ratio (SINR) maximization. Due to the incurred losses from intersymbol interference (ISI) and intercarrier interference (ICI) introduced by synchronization errors, the SINR of the received data drastically drops. By taking advantage of this characteristic, both the symbol time and carrier frequency offsets are intuitively estimated by maximizing the SINR metric. For the SINR metric, two blind SINR estimations are investigated. The estimations do not need prior knowledge of the channel profiles and transmitted data. As such, the proposed maximum SINR (MSINR) synchronization algorithm is nondata aided so that the transmission efficiency can be improved. Moreover, to reduce the computational complexity, the early–late gate technique is proposed for the implementation of the synchronizer. Simulation results exhibit better performance for the MSINR algorithm than conventional techniques in multipath fading channels.      

一种可实现的盲自适应多址干扰抑制接收机

本文提出了几种自适应方法来跟踪目标用户的幅度,从而克服了基于恒模的盲自适应多址干扰抑制算法中,由于估计幅值选择不合适而造成算法不收敛的缺点,保证了算法的全局收敛,并提高了干扰抑制能力。计算机仿真结果证明了该方法的有效性与可行性。