一种基于MOE的盲自适应的多用户检测器

盲自适应多用户检测器由于既能实时跟踪信道信息及用户信息,又不需要发送训练序列而成为研究的热点,但一般的盲自适应多用户检测技术存在收敛速度慢的弱点。提出一种基于MOE(最小输出能量)的盲自适应多用户检测器,通过合理地选取时变步长,可有效地提高多用户检测器的收敛速度,从而提高系统的性能。     

CDMA通信系统中的多用户检测

ＣＤＭＡ由于其用户容量大,抗多径衰落能力强以及便于实现软切换等特点而优于其他多址方式,近年来在移动通信系统中越来越得到重视。但是ＣＤＭＡ通信系统由于存在着严重的多址干扰而限制了其容量的进一步提高。多用户检测利用每个用户的信息对接收信号进行相关处理作统计判决或是进行干扰对消从而恢复出各个用户的发送序列,多用户检测方法可以使用最优多用户检测器、线性多用户检测器及非纡性多用户检测器等几类。     

基于最大值判决的OCDMA并行干扰抑制系统

提出一种适用于光正交码作为地址码的光码分多址多用户干扰并行干扰抑制系统.该系统通过在发送端将比特"0"和比特"1"分别用一个光正交码和其移位变形来映射,接收端采用APD作为光电检测器,并采用最大值判决即通过比较比特"0"和比特"1"支路的大小来识别比特"1"和比特"0",从而实现用户间干扰的并行干扰抑制.分析了系统性能并进行仿真,仿真结果表明该系统的误码性能和常规光码分多址(OCDMA)系统相比,当接收光功率为-50dBW时,可以改善5个数量级,并且接收光功率越大,改善量越大.     

光码分多址多用户干扰抑制方法研究

综述了光码分多址(CDMA)多用户干扰的问题及其抑制方法,指出目前光CDMA系统中多用户干扰主要影响发送比特为"0"时的误码率.提出了一种基于最大值判决的并行干扰抑制方法,进行误码性能仿真.仿真结果表明采用上述多用户干扰抑制方法的新型系统比常规系统的误码性能改善10个数量级以上.     

一种神经网络多用户检测器

本文提出采用Ｈｏｐｆｉｅｌｄ神经网络实现ＣＤＭＡ多用户通信系统中多用户信号的检测。利用基于检测序列最大后验概率最佳多用户检测器的似然函数与Ｈｏｐｆｉｅｌｄ神经网络的能量函数的对应关系,构造一种离散Ｈｏｐｆｉｅｌｄ神经网络多用户检测器。研究表明,这种多用户检测器具有优良的性能,其计算复杂度低于最佳多用户检测器、抑制多址干扰和克服远近效应能力又大大优于传统检测器。     

多用户检测在超宽带无线通信中的应用

在超宽带(UWB)通信系统中多址干扰是限制系统性能的重要原因,为了有效抑制多址干扰,本文将多用户检测技术应用于超宽带多用户通信系统中。通过分析信号特征,给出了应用在UWB系统中的几种次最佳多用户检测器的结构,考虑到实际UWB系统需要接收机有较低的复杂度,又提出了一种特别针对UWB系统的类最小均方差(MMSE)检测器并分析了其性能。在UWB室内信道环境下的仿真表明,采用本文提出的多用户检测器可以取得明显优于传统接收机的系统性能。     

基于Fisher线性判别的多用户检测器

本文提出一种基于Fisher线性判别(FLD)的多用户检测器。该检测器将信道的时变特性隐含在学习算法得出的最优投影方向矢量中,因而适合各种信道环境,而不必知道噪声和干扰的类型;它需要训练序列,除了有用信号的扩频序列外,不需要其他用户的扩频序列;算法简单、实现复杂度低。本文对所提出的检测器性能进行了仿真实验,给出了FLD检测器与MMSE检测器和SVM检测器的性能比较。     

基于发射机预处理的中继协助下行直接序列CDMA性能评估

针对多用户下行链路直接序列码分多址系统中DL信号可能会相互影响导致中继处产生多用户干扰的问题,本文提出了一种基于矢量量化信道脉动响应的多用户发射预处理系统。该系统在各个中继处通过基于训练序列的估计技术对CIR进行估计并随机矢量量化这些被估计的CIR,同时其幅值及相位通过噪声衰退反馈信道被反馈至基站。基站内利用通过线性检测器恢复的CIR进行预处理矩阵的公式化以减少中继处DL多用户的干扰。分析结果表明,当调用受噪声及衰退影响的VQ-CIR实现预处理矩阵时,可以使得误码率性能降低,而基于VQ-CIR的MUTP的BER性能与基于完全CIR假定所得的性能相近。     

DS/CDMA系统决策反馈多用户检测算法之实验研究

多用户检测技术(MUD)是第三代移动通信系统IMT-2000中的一项关键技术.本文对非线性多用户检测器中盲自适应决策反馈检测器(DFBD)进行了性能分析和计算机仿真.通过与盲自适应多用户检测器(DB)及解相关决策反馈多用户检测器(DDFD)的比较,证实了盲自适应决策反馈检测器能够较好的实现多用户检测的功能.     

一种盲自适应空时多用户检测技术

空时多用户检测技术是一种有效消除CDMA系统中多址干扰和码间干扰的方法。目前很多此类方法都需要知道一些系统参数,其自适应实现需要训练序列。提出了一种结合恒模算法(CMA)和解扩重扩算法(DRA)的盲自适应空时恒模解扩重扩算法(STCMDRA),他能够有效利用信号的恒模特性以及用户已知的扩频信号信息来较好地抑制多址干扰及码间干扰。仿真结果进一步验证了该方法的性能。     

Linear space-time multiuser detection for multipath CDMA channels

We consider the problem of detecting synchronous code division multiple access (CDMA) signals in multipath channels that result in multiple access interference (MAI). It is well known that such challenging conditions may create severe near-far situations in which the standard techniques of combined power control and temporal single-user RAKE receivers provide poor performance. To address the shortcomings of the RAKE receiver, multiple antenna receivers combining space-time processing with multiuser detection have been proposed in the literature. Specifically, a space-time detector based on minimizing the mean-squared output between the data stream and the linear combiner output has shown great potential in achieving good near-far performance with much less complexity than the optimum space-time multiuser detector. Moreover, this space-time minimum mean-squared error (ST-MMSE) multiuser detector has the additional advantage of being well suited for adaptive implementation. We propose novel trained and blind adaptive algorithms based on stochastic gradient techniques, which are shown to approximate the ST-MMSE solution without requiring knowledge of the channel. We show that these linear space-time detectors can potentially provide significant capacity enhancements (up to one order of magnitude) over the conventional temporal single-user RAKE receiver     

基于卡尔曼滤波的盲空时检测器

文章提出了一种基于卡尔曼滤波的盲空时多用户检测方法。卡尔曼滤波是一种线性最小方差状态估计,把它有效地结合阵列天线与多用户检测。该自适应多用户检测方法不需要发送训练序列。在多径衰落信道下,仿真结果表明该方法收敛速度比LMS算法更快,有较强的抗多径和多址干扰能力。     

Multi-access interference suppression in canonical space-timecoordinates: A decentralized approach

We propose a decentralized space-time multiuser detection scheme based on the notion of canonical space-time coordinates (CSTCs) for representing the received signal. The CSTC representation provides a natural framework for decentralized multi-access interference (MAI) suppression in lower dimensional subspaces that results in complexity reduction relative to existing chip rate filtering schemes. The framework is based on a partitioning of the signal space into active and inactive CSTCs. The active CSTCs contain the signal of the desired user, facilitate maximal diversity exploitation and minimal complexity interference suppression. The inactive CSTCs only contain MAI and can be included progressively to attain a desired level of MAI suppression at the cost of increased complexity. We develop CSTC-based linear coherent multiuser detectors using the linearly constrained minimum variance (LCMV) criterion. We characterize the set of inactive coordinates and analyze the performance of the LCMV receiver as a function of the number of inactive CSTCs. Channel estimation and detector sensitivity to channel estimation errors are discussed. We demonstrate that the low-complexity adaptive receivers designed via the CSTC framework are more robust to channel estimation errors than existing chip-domain filtering schemes     

Group-Based Space-Time Multiuser Detection with User Sharing

To reduce the complexity of space-time multiuser detection, it has been proposed recently to exploit the spatial dimension by forming groups of users and apply the detection individually to each group. In this work we propose a new space-time receiver structure based on the group-optimal MMSE linear detector along with a new grouping algorithm that respects practical hardware limitations. Furthermore, an extension of the proposed structure which allows non-mutually exclusive grouping is presented. The simulation results show that the proposed reduced-complexity receiver structure provides a bit error rate (BER) performance close to the full linear MMSE multiuser detector.     

Space-time multiuser detection in multipath CDMA channels

The problem of multiuser detection in multipath CDMA channels with receiver antenna array is considered. The optimal space-time multiuser receiver structure is first derived, followed by linear space-time multiuser detection methods based on iterative interference cancellation. Blind adaptive space-time multiuser detection techniques are then proposed, which require prior knowledge of only the spreading waveform and the timing of the desired user's signal. Single-user-based space-time processing methods are also considered and are compared with the multiuser approach. It is seen that the proposed multiuser space-time processing techniques offer substantial performance gains over the single-user-based methods, especially in a near-far situation     

A novel blind space-time multiuser detector for DS-CDMA system

In this letter, a novel blind space-time multiuser detector, called space-time constrained minimum output energy (ST-CMOE) detector, is proposed. It can achieve the same performance as the training based space-time minimum mean square error (ST-MMSE) detector. An adaptive version of the proposed ST-CMOE detector is also presented. Simulation shows that, the adaptive ST-CMOE detector can work well in a dynamic multiple-access channel.     

An effective multiuser receiver for DS/CDMA systems

Multiuser detection (MUD) is a key technique for combating multiple access interference (MAI) in CDMA systems. We propose a simple and effective multiuser receiver, which we refer to as the objective function based multiuser detector (OFMUD). This is a successive multistage joint detector based on the statistical optimization of an objective function. Two objective functions are considered in this paper. The first one is based on a maximum likelihood solution, and the second one is based on the least squared error solution. A key feature of the proposed detector is that among all the K user bits, we update the estimate of one and only one bit (the one that is most likely to be wrong) in every stage. Analytical and numerical results show that significant performance improvement can be achieved compared with the conventional DS/CDMA receiver. At the same time, the near-far problem is alleviated. In addition, it is shown that the proposed receiver can outperform the popular multiuser parallel interference cancellation receiver in most cases with a smaller computational cost     

Performance of multiuser detectors based on EM-like method for ultra-wideband communications systems in multipath fading channel

An adaptive multiuser detector (MUD) is proposed for direct-sequence ultra-wideband (DS-UWB) multiple access communication systems to suppress both multiple access interference (MAI) and inter-symbol interference (ISI). In this contribution, considering the MUD from a combination viewpoint, we proposed a MUD based on electromagnetism-like (EM) method, which applied the concept of EM search to Hopfield neural network (EMHNN) for solving optimization problems. We analyze the performance of the EMHNN MUD in multipath fading channel, and compare it with the optimum detector and several suboptimum schemes such as conventional, decorrelator detector (DD), minimum-mean-squared error (MMSE) and HNN MUD. Simulation results will demonstrate that the proposed EMHNN MUD, which alleviates the detrimental effects of the MAI problem, can significantly improve the system performance.     

宽带CDMA系统中线性空时多用户接收机结构与性能分析

给出了一种新的线性空时多用户接收机的一般表达形式。对这种表达形式的分析表明，线性空时多用户接收机可以分解为4个级联部分，即匹配滤波、空域合并、多径合并和多用户检测器，并且前3个部分的运算仍是以单用户接收为基础的。仿真结果表明，这种结构分解可以有效降低线性空时多用户接收机的计算复杂度，加快自适应接收机的收敛速度，更利于实际系统应用。     

A low-complexity enhancement to suboptimal CDMA receivers

Conventional matched-filter detectors for code-division multiple-access (CDMA) systems suffer from multiple-access interference (MAI) caused by nonzero correlation between spreading codes at the receiver. A host of advanced detector structures have been proposed to reduce the effect of MAI and, hence, improve performance. However, most multiuser detectors suffer from their relatively complex implementations. A simple method is proposed to improve the performance of the conventional detector by detecting and correcting decision errors at its output without the use of forward error correcting (FEC) codes. The proposed post-detection error control method is shown to substantially improve the performance of the conventional detector, but has a much lower complexity than most other multiuser detectors.