MMSE白化技术在NMM信号多用户检测中的应用

介绍了MMSE白化技术在非正交多脉冲调制信号的非相干解相关多用户检测中的应用。如果直接对正交多脉冲调制信号进行非相干解相关多用户检测,虽然能将多用户问题转换成单用户问题,但会造成高斯噪声加强,若直接对信号进行判决,必然会影响判决的准确性,故尝试将白化技术应用在此,在解相关后,先将噪声进行MMSE最优白化变换,使其互不相关,再将多用户信道分解成单用户信道,能够有效地改善系统性能。     

基于最小均方误差准则的盲多用户检测新算法

码分多址信号在无线多径衰落信道条件下的盲多用户检测具有很大的理论和实际意义。该文提出了一种直接基于最小均方误差(MMSE)准则的盲多用户检测算法。为保证算法收敛到目标用户,提出了一种基于MMSE准则的新的线性约束方法。该方法能保证检测器收敛到最优MMSE解。此外,该文还设计了一种形式简单、快速收敛的迭代算法。对比现有的最小输出能量(MOE)算法,仿真结果表明本文算法具有较好的性能。     

一种改进的MOE盲多用户检测算法

针对最小输出能量(MOE)准则,分析并研究了直扩码分多址(DS-CDMA)通信系统中的三种盲多用户检测算法,即最小均方(LMS)算法,递推最小二乘(RKS)以及判决反馈变步长MOE检测算法(DF-MOE).仿真实验了同步DS-CDMA系统中平稳信道以及非平稳信道下三种算法抑制多址干扰(MAI)的能力,并且根据各自特点,提出将RLS算法和DF-MOE算法相结合,使其更好地适应于动态系统.     

空时CDMA多用户信号检测

本文利用最小均方误差(MMSE)和最大似然(ML)准则,推导了空时CDMA多用户检测算法,分析了空时多用户检测与单用户检测的关系,并提出一种空时CDMA多用户检测接收机结构.计算机仿真结果说明了本文提出的空时CDMA多用户检测算法,与单用户检测方法相比其误码性能有相当的改进.     

MMSE接收机

MMSE接收机具有多用户检测般的性能,而其复杂性仅比传统匹配滤波器或者相干接收机有稍微的提高。介绍了MMSE接收机的原理及近来MMSE接收机的研究和发展。     

非正交多脉冲调制的QR分解多用户检测

针对加性高斯白噪声信道下的多用户非正交多脉冲调制系统,提出了基于QR分解的非相干判决反馈多用户检测器。该检测器通过QR分解矩阵变换,利用功率较强用户的判决信息来进行干扰抵消,可以有效消除用户间的多址干扰。而在各用户内,针对多脉冲调制技术,提出了一种线性解相关运算来进行非相干检测。同时,考虑解相关运算中矩阵求逆的复杂度比较高,进一步提出了一种软干扰抵消检测器。仿真结果表明所提的两种多用户检测算法可以有效消除非正交调制所造成的多址干扰,极大地提高功率较弱用户的性能,并且所提软干扰抵消检测器通过避免矩阵求逆降低了计算复杂度,同时检测性能没有损失。      

基于连续干扰消除的毫米波MIMO系统混合预编码算法

该文研究多用户毫米波MIMO系统的混合模数预编码器和合并器设计。针对因信号传播漫散射造成的多用户间信号干扰问题,提出一种基于连续干扰消除(SIC)的鲁棒混合预编码算法。首先对信道矩阵进行正交分解,以消除来自已知用户信号的干扰,从而将含有非凸约束的多用户链路优化问题分解为多个单用户链路优化问题。然后采用相位提取算法逐个求解每个用户的最优传输链路,并结合最小均方误差(MMSE)准则求得多用户混合预编码矩阵。仿真结果表明,与现有的混合预编码算法相比,所提算法在强干扰环境下具有显著的性能优势。     

自适应部分干扰抵消多用户接收机

在DS/CDMA系统中,采用多用户检测技术可以有效地克服多址干扰(MAI,MultipleaccessInterference)及远近效应。本文提出了一种自适应部分干扰抵消(APPIC,AdaptivePartialParallelInterferencecancellation)算法,根据匹配滤波器输出的判决统计对多址干扰进行选通抵消,以提高系统性能。同时本文给出了自适应部分干扰抵消接收机的非相干实现方案,并给出了仿真结果。     

一种基于二次规划计算DFE系数的新方法

判决反馈均衡器(DFE)是一种常见的均衡器类型,在实际中得到了广泛应用。对于采用最小均方误差(MMSE)准则设计的DFE,其系数计算一般利用正交原理推导获得。该文推导了一种新颖的基于二次规划方法计算MMSE准则下DFE系数的方法。仿真表明,该文所提方法与传统方法计算得到的结果是一致的,并且由于运用矩阵运算,在一定程度上简化了计算。     

一种低复杂度的Turbo多用户检测技术

基于Turbo原理,提出了一种适合于同步DS－CDMA系统的迭代多用户接收机结构,它通过在反复迭代的软输入出多用户检测器和一组信道译码之间获得连续的软判决,从而得到一种低复杂度的多用户检测算法－软MMSE干扰消除。     

Noncoherent MMSE multiuser receivers and their blind adaptiveimplementations

Three noncoherent minimum mean-squared error (NMSE)-based multiuser receivers are proposed for multipulse modulation. These receivers have a common MMSE prefilter and are followed by one of three phase-independent decision rules. The simplest decision rule selects the maximum magnitude of the MMSE filter outputs, and the other two account for the second-order statistics of the residual multiple-access interference that remains after MMSE filtering. Blind adaptive algorithms are then proposed for the three noncoherent MMSE receivers. The common adaptive algorithm for the MMSE prefilter, which is based on the stochastic approximation method, is shown to converge in the mean-squared error sense to the nonblind NMSE prefilter. Our convergence analysis yields new insight into the tradeoff between the rate of convergence and the residual mean-squared error. The noncoherent blind receivers obtained here do not require the knowledge of the received signals of any of the interfering users, and are hence well-suited for distributed implementation in cellular wireless networks or in communication systems that must operate in noncooperative environments     

无线传感网络中抵御虫洞攻击的基于统计估计的新型位置方案

Wormhole attack is one of the most devastating threats for range-free localization in wireless sensor networks. In this paper, we evaluate three statistical estimation methods with the same network model and geographic information obtained by the DV-Hop algorithm. We analyze the limits of Minimum Mean Square Estimate (MMSE), Least Median of Squares (LMS) and Enhanced greedy Attack-Resistant MMSE (EARMMSE) and propose an improved EARMMSE with the hop-distance relationship, named EARMMSE +. Simulation results illustrate the performance of MMSE, LMS and EARMMSE +with different anchor fraction, the length of wormhole link and the average local neighborhood and show that EARMMSE +outperforms MMSE and LMS.     

蜂窝无线通信中的时空信号处理技术

论述了蜂窝无线通信中的空时信号处理方法,给出了空时信号处理的2个最优准则空时最大似然序列估计(ST-MLSE)准则和空时最小均方误差估计(ST-MMSE)准则,并给出了两种最优准则的粗略性能比较.另外,对无线信道特性作了一些简要说明.     

Chip-Level MMSE Equalization for CDMA Downlink

1IntroductionNext generation standards support high data rate ser-vices,in which users are only assigned a smaller-orderspreading code . This leads to a necessity for the tech-niques that suppress Inter-Chip Interference (ICI) aswell as Multi-Access Interference ( MAI) . The tradi-tional RAKE receiver experiences difficulty because theorthogonality decays when signal transmits over multi-path frequency selective fading channels . The RAKEreceiver cannot overcome the serious MAI and I…     

MIMO系统中基于MMSE准则的检测算法对容量的影响

文中对MIMO系统中各种基于MMSE准则的接收算法，包括线性MMSE算法、MMSE-BLAST以及MMSE-SQRD算法，对检测后系统容量带来的影响做了详细的分析与推导，给出了其具体表达式，并用计算机仿真给予验证，得出了MMSE-SQRD算法的检测后系统容量最好的结论。     

Structurally Constrained Receivers for Signal Detection and Estimation

A general approach to the problem of designing structurally constrained receivers for signal detection and estimation is proposed. The approach is based on the constrained Bayesian methodology wherein risk-minimizing inference (or decision) rules are modified (constrained) by replacement of true posterior probabilities with estimated posterior probabilities. The estimators are structurally constrained minimum-mean-squared-error (MMSE) estimators for random posterior probabilities. This methodology is, in essence, an extension and generalization of the well-known linear MMSE estimation methodology. The approach is employed to design linearly constrained coherent receivers for signals in additive and multiplicative noise, and quadratically constrained noncoherent receivers for signals in additive noise. An analysis of these receivers shows that they are very similar to those that are optimum for additive Gaussian noise. The methodology provides a unified theory of receiver design based on the constrained MMSE criterion. This unification yields new insight into this old approach, clarifying both strengths and weaknesses of the approach.     

Receiver design for multicarrier CDMA using frequency-domain oversampling

Based on the frequency-domain oversampling and minimum mean-square error (MMSE) principles, we propose three linear single-user detectors for downlink multicarrier codedivision multiple-access (MC-CDMA) systems. We begin with an optimal linear MMSE detector, which is computationally demanding. To reduce the complexity, a two-stage MMSE detector and a diagonal one-stage MMSE detector are developed subsequently. Simulation results show that the proposed detectors can efficiently suppress the multiple access interference (MAI) caused by frequency-selective fading, near-far effect, frequency offset, and nonlinear power amplification.     

基于粗集和多Agent技术的分布式数据挖掘

在分布式数据库基础上,对各个站点的数据库使用粗集的方法进行挖掘,产生各个站点的规则,将这些规则库组合起来,产生一个全局的规则库,从而可以为管理者提供决策的依据.但是,产生的全局库中往往会有不一致的规则出现,一方面,是由于数据库本身的不一致等原因,导致了规则的不一致;而另一方面,则由于各个站点都追求规则的简洁性,使得直接从全局数据提取的规则不矛盾,在分布式环境下却得到矛盾的规则.对于第一种情况,可以通过现有的增加规则的可信度等方法加以避免;而对于第二种情况,本文提出了三种算法来解决了这个问题,并对这三种算法的效率、得到的一致规则的长度等问题进行详细的分析,说明了算法3是一种高效实用的算法.另外,本文对局部站点的核和全局站点的核的关系进行了研究,并证明了一个定理.     

Noncoherent MMSE interference suppression for DS-CDMA

A novel robust noncoherent receiver for minimum mean-squared error (MMSE) interference suppression for direct-sequence code-division multiple access (DS-CDMA) is proposed. The receiver consists of a linear MMSE filter and a decision-feedback differential detector (DF-DD). The performance of the proposed scheme is investigated analytically and by computer simulations. It is shown that the loss compared to coherent MMSE interference suppression is limited and can be made arbitrarily small by increasing the observation window used for calculation of the reference symbol of the DF-DD. Hence, the regarded noncoherent receiver is near-far resistant. For adjustment of the MMSE filter coefficients three noncoherent adaptive algorithms are proposed. In contrast to coherent adaptive algorithms, these noncoherent algorithms have the important advantage that they also converge if the channel phase is time-variant     

Equalization for PSK signals over non-linear channels with non-symmetrical frequency response

In this paper, a minimum mean square error equalizer (MMSE) for receiving quadrature phase shift keyed (QPSK) signals over band-limited non-linear satellite channels is designed. The effect of intersymbol interference due to non-symmetrical frequency response followed by AM/AM and AM/PM conversions are taken into account while optimizing the performance in the presence of down-link additive white Gaussian noise. The taps gain coefficients of the equalizer are obtained using numerical methods. The average probability of error is computed for two systems: the one sample detector and the (MMSE) equalizer. It is shown that significant improvement in performance is possible by replacing the one sample detector by an MMSE equalizer.