一种新的盲自适应多用户检测算法

多址干扰引发严重的远 /近问题。本文提出一种新的代价函数 :差分平均输出能量(DMOE) ,并设计了适用于DS/CDMA系统的盲多用户检测算法。理论分析和数值模拟表明该算法的收敛性能及误码性能均优于MOE检测器     

基于U-D分解滤波的高性能盲自适应多用户检测算法

提出利用U-D分解渐消记忆滤波算法估计CDMA系统多用户接收器的最优判决向量，构造出一种收敛速度快、跟踪性能好、数值稳定性好的高性能盲自适应多用户检测算法。仿真实验表明，本文提出的方法具有很强的抗多址干扰能力和较高的数值鲁棒性。     

CDMA系统中基于卡尔曼滤波的盲自适应多用户检测算法

CDMA系统存在很强的多址干扰,且实际无线环境一般为多径信道。文章介绍了基于卡尔曼滤波的、且适用于多径信道的盲自适应多用户检测算法,并与基于LMS、RLS滤波的自适应多用户检测算法进行了比较。     

基于干扰空间的盲自适应多用户检测器

在现有盲自适应多用户检测技术基础上，本文提出一种更具有实际应用价值的基于干扰空间线性MMSE盲自适应多用户检测器及其相应的基于干扰自相关矩阵C1跟踪算法。数学分析和仿真结果表明：与现有盲自适应多用户检测器相比，该检测器具有更低的实现复杂度、更快的跟踪速度和更强的健壮性。     

频率复用DS/CDMA系统中自适应盲多用户检测的一种方法

该文给出一种工作于强窄带干扰(NBI)多径衰落信道中DS/CDMA系统盲多用户检测接收机模型。它具有RAKE接收机的基本结构,在每一条并行支路中利用MMSE准则跟踪各路径信号。因此具有抗多径衰落,同时抑制NBI和多址接入干扰(MAI)的能力。模拟结果证明,它的性能优于未考虑NBI抑制的多用户检测接收机。     

基于鲁棒卡尔曼滤波的盲自适应多用户检测算法

提出一种新的基于虚拟噪声补偿技术的鲁棒卡尔曼滤波估计异步CDMA系统多用户接收器的最优判决向量的方法,构造出一种收敛速度快、跟踪性能好、数值稳定性好的高性能盲自适应多用户检测算法。仿真实验表明, 该文提出的方法具有很强的抗多址干扰能力和较高的数值鲁棒性。     

DS／CDMA系统中的干扰抑制

WCDMA技术是无线宽带通信发展方向之一，其抗干扰技术成为WCDMA系统中的关键技术。本文就DS/CDMA系统的抗干扰性及其干扰抑制进行分析和探讨。     

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。     

CDMA通信系统仿真及抑制多址干扰的技术研究

CDMA作为第三代无线通信系统,具有频谱利用率高、保密性强、可多址复用等优点。在移动通信领域,越来越受到人们的普遍关注和重视。文章阐述了多址干扰产生的原因及其对系统性能的影响。通过MATLAB/Simulink建立仿真平台,设计并实现了直接序列扩频通信中信号的收发,采用误码率这一指标,重点对比分析传统单用户检测器、解相关线性检测器和最小均方误差检测器对系统性能的影响。实验结果表明,解相关线性多用户检测器在抑制多址干扰方面占有明显的优势。     

基于ε逼近算法的CDMA盲自适应多用户检测

把码分多址通信系统的盲多用户信号检测问题转化为一个带约束的二次规划问题，利用二次规划问题的ε逼近算法给出了一种新的CDMA盲自适应多用户检测方法，仿真结果表明，该算法不但具有较强的多址干扰抑制性能，而且具有很快的收敛速度。对于时变信道特别适用。     

基于NLMS的CDMA盲自适应多用户检测算法研究

多用户检测是抑制DS-CDMA系统多址干扰最有效的技术之一。由于所需的先验知识仪有期望用户的地址码,盲多用户检测技术的研究尤受重视。最小输出能量(MOE)准则被广泛用于盲线性多用户检测。目前已提出的该类检测器多采用LMS或RLS算法。本文则研究基于NLMS算法的盲自适应检测技术,并进一步提出盲自适应变步长NLMS检测器和参数可变的盲自适应变步长NLMS检测器。它们具备很好的收敛速度和跟踪能力,以及较高的输出信干比,同时计算复杂度仅为O(3N)或O(4N),非常适合硬件实现。     

Fast Converging Adaptive MMSE Multiuser Detector for DS-CDMA System

A fast converging adaptive minimum-mean-squared-error (MMSE) multiuser detector is proposed for direct-sequence code-division multiple-access (DS-CDMA) systems with severe near-far problem where the convergence rate of adaptive MMSE detectors for distinct users can be very different. It is shown that by successively cancelling the interference signals of strong power users, the convergence rate of the proposed detectors for weak power users can be significantly increased, which helps to reduce the length of training sequence for tracking. It is also shown that the order of cancellation and several important parameters required for interference cancellation can be determined from the convergence behavior of the proposed detector. Numerical results are presented to show that the proposed detector offers improved performance in various DS-CDMA environments.Zhiwei Mao received the B.Sc. degrees from Beijing University of Posts and Telecommunications (BUPT), Beijing, China in 1996 and 1999, respectively. Since 2000, she had been a Research Assistant and graduate student in the Department of Electrical and Coumputer Engineering, University of Victoria, Victoria, BC, Canada. She received the Ph.D. degree in electrical engineering in 2003. Currently, she is an Assistant Professor at Lakehead University, Thunder Bay, Ontario, Canada.Her research interests include wireless communications, multiuser detection, digital communications and digital singal processing.Vijay K. Bhargava received the B.Sc., M.Sc., and Ph.D. degree from Queens University, Kingston, ON, Canada in 1970, 1972 and 1974 respectively.Currently, he is a Professor and Head of the Department of Electrical and Computer Engineering at the University of British Columbia, Vancouver, Canada. Previously he was with the Univeristy of Victoria (1984–2003) and with Concordia University in Montréal (1976–1984). He is a co-author of the book Digital Communications by Satellite (New York: Wiley, 1981), co-editor of Reed-Solomon Codes and Their Applications (New York: IEEE, 1994) and co-editor of Communications, Information and Network Security (Boston: Kluwer, 2002). His research interest are in wireless communications.Dr. Bhargava is a Fellow of the B.C. Advanced Systems Institute, Engineering Institute of Canada (EIC), the IEEE, the Canadian Academy of Engineering and the Royal Society of Canada. He is a recipient of the IEEE Centennial Medal (1984), IEEE Canadas McNaughton Gold Medal (1995), the IEEE Haraden Pratt Award (1999), the IEEE Third Millennium Medal (2000), IEEE Graduate Teaching Award (2002), and the Eadie Medal of the Royal Society of Canada (2004).Dr. Bhargava is very active in the IEEE and was nominated by the IEEE Board of Director for the Office of IEEE President-Elect. Currently he serves on the Board of Communications Society. He is an Editor for the IEEE Transactions on Wireless Communications. He is a Past President of the IEEE Information Theory Society.     

Differentially Coherent Blind Adaptive Receiver for Rayleigh Fading CDMA Channels

Interest in code division multiple access (CDMA) has increased dramaticallyin boththe industry and academia. This is due to the potential increase in usercapacity andinterference, multipath fading, and jam-resistant capabilities. Differentapproaches ofmultiuser detection schemes have shown improvement over the conventionalreceiver.However, multiuser detectors require system parameters and adaptive multiuserreceivers require training sequences. These parameters are difficult toobtain inmultipath fading channels with a degradation in performance. A blind adaptivemultiuser receiver for flat fading and frequency-selective fading environments isstudied in this paper. This receiver alleviates the problem of multiuser detectors and adaptivemultiuser receivers by using a blind adaptive equalization method. The structure of the receiveris similar to that of the adaptive MMSE receiver which consists of an adaptive equalizer and an adaptivemechanism that uses a standard least mean-squared (LMS) algorithm, but uses a matched filterto generate a reference signal. The receiver is shown to be effective in different fadingchannels with perfect power control and a near-far effect. Furthermore, the simulationresults show that the blind MMSE receiver outperforms the conventional receiver and theRAKE receiver.     

一种基于约束最小四阶矩的盲自适应多用户检测方法

基于约束最小四阶矩(Least Mean Fourth,LMF)准则,提出了一种新的高阶统计类型的盲多用户检测方法.通过理论分析和证明,采用此准则的盲多用户检测算法能够收敛于全局最小值,且该极值点符合多用户信号迫零解相关的要求.利用最速下降梯度方法,文中给出了盲自适应LMF接收机形式.该多用户接收机具有运算复杂度低,收敛性能好的特点.在AWGN信道和多用户环境中的仿真结果进一步验证了理论分析的结论.     

DS/CDMA多用户检测盲自适应梯度算法的改进

本文在直接序列/码分多址(DS/CDMA)系统盲检测自适应梯度算法(BAG)的基础上,提出了一种多用户检测盲自适应梯度算法的改进算法(IBAG).BAG算法包括自适应梯度算法(TBAG)和时变自适应梯度算法(TIBAG),TBAG算法的跟踪特性较好,但起始收敛特性不好;TIBAG算法的收敛特性较好,但跟踪特性较差,几乎不具备跟踪能力.本改进算法结合了这两种自适应梯度算法的优点,在不增加算法复杂度的前提下,使其收敛性和跟踪特性较BAG算法有所提高.     

通道幅相误差条件下MUSIC空域谱的统计性能

本文分析了通道幅相误差对空间目标参数估计算法MUSIC的影响.推导了幅相误差下空域谱的统计表达式,揭示了幅相误差对空域谱影响的机理.计算机仿真证明了理论分析的正确性.结果表明:幅相误差降低了空域谱峰值,从而造成方向估计误差,也降低了分辨能力.本文给出的结果对阵列设计人员具有一定的参考价值.     

一种新的盲自适应多用户检测技术

基于对传统RAKE接收机和自适应技术的研究,提出了一种新的盲自适应多用户检测技术方案,给出了这种盲自适应多用户检测接收机的模型,并对其进行计算机仿真。结果表明这种新的盲自适应多用户接收机具有优良的抗干扰性能。