初始判决指导下的DS/CDMA最大似然检测算法

本文首先给出了多径异步多用户ＤＳ／ＣＤＭＡ系统的一种数学模型，得出了恒参信道下最大似然检测（ＭＬＳＥ）算法的一种新的表示形式。然后作者具体分析了以ＲＡＫＥ接收机作为衰落信道的匹配滤波器时，最大似然检测器的算法设计问题。分析指出，在多径环境下ＭＬＳＥ算法的复杂度和计算量与多径时延的分布有关，如果用户时延扩散在一个信息码元之内，算法复杂度和恒参信道下相同，而其实现可以用状态数可变的Ｖｉｔｅｒｂｉ算法来实现。最后，本文用传统判决方法得出的初始判决信息缩减Ｖｉｔｅｒｂｉ算法的搜索空间，在保证一定性能的前提下，算法的计算复杂度大大降低。     

带判决反馈的盲最大似然序列估计

本文提出了一种新型的带有判决反馈的减小状态最大似然序列估计ＲＳＳＤＦＰＳＰ,新算法带有两个信道估值器并且可以工作在盲环境下．使用最大似然序列估计（ＭＬＳＥ）来处理信道冲激响应的前导干扰及主径,反馈滤波器处理后尾干扰,并且用ＰｅｒＳｕｒｖｉｖｉｎｇＰｒｏｃｅｓｉｎｇ（ＰＳＰ）算法来得到ＭＬＳＥ部分的信道冲激响应,信道估值器２得到后尾干扰．计算机模拟表明,这种ＲＳＳＤＦＰＳＰ方案在减小ＭＬＳＥ的计算复杂度的同时能最大限度地得到ＭＬＳＥ的性能,是ＭＬＳＥ在计算复杂度与性能之间的较好折中．     

带判决反映的盲最大似然序列估计

本文提出了一种新型的带有判决反映的减小状态最大似然序列估计ＲＳＳＤＦ－ＰＳＰ,新算法带有两个信道估值器并且可以工作在盲环境下。使用最大似解序列估计（ＭＬＳＥ）来处理信道冲激响应的前导干扰及主径,反馈滤波器处理后尾干扰,并且用Ｐｅｒ－Ｓｕｒｖｉｖｉｎｇ Ｐｒｏｃｅｓｓｉｎｇ（ＰＳＰ）算法来得到ＭＬＳＥ部分的信道冲激响应,信道估值器２得到后尾干扰。计算机模拟表明,这种ＲＳＳＤＦ－ＰＳＰ方案在减小ＭＬＳ     

码分多址数字移动通信的抗多径衰落技术

移动信道的主要特征是由于移和多径传播的多径落现象，本文首先概述了码分多址（ＣＤＭＡ）数字移动信道的数学模型，并在此基础上讨论了ＤＳ－ＦＳＨ扩频多系统在瑞利衰落信道中的多径分集接收技术的性能，推导了基于最大合并（ＭＲＣ）等增益组合（ＥＧＣ）和选择最大（ＳＭ）多径分集接收算法下，扩展系统的平均差错概率，理论分析和数值模拟表明，扩频分集技术可以明显地提高ＣＤＭＡ系统的抗衰落能力，并且指出ＭＲＣ优于ＥＧＣ     

DS－SFH扩频多址系统在瑞利衰落信道中多径分集的性能研究

本文讨论了混合ＤＳ－ＳＦＨ扩频多址ＳＳＭＡ通信系统在瑞利衰落信道中多径分集接收的性能。基于多径干扰、多址干扰和信道噪声之和为一个高斯随机变量的分析，推导了在等增益组合（ＥＧＣ）和选择最大（ＳＭ）多径分集接收算法下，扩频系统的平均差错概率。理论分析和数值模拟指出：扩频多径分集接收可以明显地改善ＤＳ－ＳＦＨＳＳＭＡ系统的性能，在提高系统性能方面，等增益组合算法优于选择最大分集算法。     

DS—SFH扩频多址系统在瑞利衰落信道中多径分集的性能研究

本文讨论了混合ＤＳ－ＳＦＨ扩频多址ＳＳＭＡ通信系统在瑞利衰落信道中多径分集接收的性能，基于多径干扰、多址干扰和信道噪声之和为一个高斯随机变量的分析，推导了在等增益组合和选择最大多径分集接收算法下，扩频系统的平均差错概率，理论分析和数值模拟指出：扩频多径分集接收可以明显地改善ＤＳ－ＳＦＨ ＳＳＭＡ系统的性能，在提高系统性能方面，等增益组合算法优于选择最大分集算法。     

市区多径衰落信道中的TCM DS／SSMA系统性能分析

本文将网络编码调制（ＴＣＭ）应用于市区多径衰落信道下的直接序列扩频多址（ＤＳ／ＳＳＭＡ）系统中，应用ＤＳ条件下市区多径衰落信道的等效模型，提出了一种采用理论分析和数值模拟相结合分析ＴＣＭＤＳ／ＳＳＭＡ系统在该信道下性能的新方法，并将传统的Ｕｎｇｅｒｂｏｅｃｋ型ＴＣＭ才本文所构成的若干种低码率ＴＣＭＤＳ／ＳＳＭＡ系统的性能进行了比较。     

一种新的未知信道参数下的次最优分集合并接收机

本文推导了衰落信道中未知信道参数情况下相移键控信号多信道分集合并的最大似然序列估计算法,并在此最优方案的基础上提出了两新的次最优维持比算法,将该算法用于扩系统的ＲＡＫＥ接收机的模拟结果表明,对ＤＱＰＳＫ和编码的ＱＰＳＫ信号的接收民理想接收十分接近。     

基于新型前导符号的OFDM同步算法

在多径信道中,循环前缀最大似然估计盲OFDM同步算法的性能较差,循环前缀集相关同步算法增强了对抗多径的能力,获得了较好的同步性能,但同步时延非常大.为了缩短集相关同步算法的同步时延,设计了一种前导符号,基于此前导符号,提出了一种快速集相关运算同步算法.蒙特卡洛仿真结果表明,在多径信道下,该算法比循环前缀集相关同步算法具有更好的同步性能.进一步的分析还证明本文算法的同步时延也大大缩短.     

基于最大似然准则的超宽带分簇信道估计

在室内通信环境中,超宽带信号具有多径成簇到达的特性。利用此特性,文中提出了两种基于最大似然准则的分簇信道估计算法,仿真结果表明,与传统的最大似然信道估计算法相比,丈中的两种算法大大降低了系统的复杂度和误码率。     

相关衰落下多天线 LS-CDMA信道容量

对相关多径信道下不同扩频地址码的多天线CDMA系统的信道容量进行了研究,在研究中分别采用了在多码检测和多用户检测联合检测算法.在多码检测的情况下,李道本教授发明的LS码多天线CDMA系统比Walsh码和Gold码的多天线系统有更大的系统容量,后两者在大的信噪比(20dB)时候均有平台效应;在采用多用户检测时它们的容量几乎相同.由于具有零相关窗特性,对于LS码而言这两种方法是等效的.当发射天线数目等于接收天线数目时,系统的容量和天线数目呈线性关系.     

基于快衰落信道的一种新型自适应MLSE接收器

在移动通信系统中,由于衰落和多普勒效应,为了实现基于Viterbi算法的极大似然序列估计(MLSE),需要不断跟踪信道参数变化.本文首先提出了一种新的基于插值的信道估计方法ICP(Interpolating channel processing),并给出了该方法的两种实现形式,同已有的一些算法的比较结果表明:新方法具有更小的计算复杂度,误码率更低.同时,本文对如何降低Viterbi算法(VA)的计算复杂度也作了探讨.通过采用自适应减小计算复杂度的算法(ATA),本文提出的ICP算法具有更优的性能.     

cdma2000扩频相干接收机设计和实现

针对衰落环境下多径信号的随机变化特性，提出了基于能量窗的初始同步方法，以及基于能量窗重心的PN码跟踪方法，无需对每一延迟路径单独进行处理，从而增加了整个扩频接收机在多径衰落环境下的稳健性，本文提出了扩频接收机的一种综合设计方法，在较大程度上节省了所需的硬件资源。     

Genetic algorithm assisted joint multiuser symbol detection andfading channel estimation for synchronous CDMA systems

A novel multiuser code division multiple access (CDMA) receiver based on genetic algorithms is considered, which jointly estimates the transmitted symbols and fading channel coefficients of all the users. Using exhaustive search, the maximum likelihood (ML) receiver in synchronous CDMA systems has a computational complexity that is exponentially increasing with the number of users and, hence, is not a viable detection solution. Genetic algorithms (GAs) are well known for their robustness in solving complex optimization problems. Based on the ML rule, GAs are developed in order to jointly estimate the users' channel impulse response coefficients as well as the differentially encoded transmitted bit sequences on the basis of the statistics provided by a bank of matched filters at the receiver. Using computer simulations, we showed that the proposed receiver can achieve a near-optimum bit-error-rate (BER) performance upon assuming perfect channel estimation at a significantly lower computational complexity than that required by the ML optimum multiuser detector. Furthermore, channel estimation can be performed jointly with symbol detection without incurring any additional computational complexity and without requiring training symbols. Hence, our proposed joint channel estimator and symbol detector is capable of offering a higher throughput and a shorter detection delay than that of explicitly trained CDMA multiuser detectors     

A new adaptive equalizer with channel estimator for mobile radiocommunication

For unknown mobile radio channels with severe intersymbol interference (ISI), a maximum likelihood sequence estimator, such as a decision feedback equalizer (DFE) having both feedforward and feedback filters, needs to handle both precursors and postcursors. Consequently, such an equalizer is too complex to be practical. This paper presents a new reduced-state, soft decision feedback Viterbi equalizer (RSSDFVE) with a channel estimator and predictor. The RSSDFVE uses maximum likelihood sequence estimation (MLSE) to handle the precursors and truncates the overall postcursors with the soft decision of the MLSE to reduce the implementation complexity. A multiray fading channel model with a Doppler frequency shift is used in the simulation. For fast convergence, a channel estimator with fast start-up is proposed. The channel estimator obtains the sampled channel impulse response (CIR) from the training sequence and updates the RSSDFVE during the bursts in order to track changes of the fading channel. Simulation results show the RSSDFVE has nearly the same performance as the MLSE for time-invariant multipath fading channels and better performance than the DFE for time-variant multipath fading channels with less implementation complexity than the MLSE. The fast start-up (FS) channel estimator gives faster convergence than a Kalman channel estimator. The proposed RSSDFVE retains the MLSE structure to obtain good performance and only uses soft decisions to subtract the postcursor interference. It provides the best tradeoff between complexity and performance of any Viterbi equalizers     

Achieving near-optimum asymptotic efficiency and fading resistanceover the time-varying Rayleigh-faded CDMA channel

We study multiuser receiver design and analysis for synchronous code-division multiple-access (CDMA) channels with time-varying Rayleigh fading. Starting from an error probability criterion, we first derive a near-optimum receiver for this channel that admits a detector-estimator decomposition, has certain asymptotic optimality properties and a complexity which is independent of the length of the observation interval. The performance of this detector is analytically characterized and contrasted with that of the optimal multiuser detector for the time-invariant (or static) CDMA Rayleigh-fading channel when it is implemented over the time-varying channel. Notable among our conclusions is the fact that, unlike the static channel multiuser detector, the time-varying channel detector is able to withstand not only the estimated interference from the other system users, but also, the residual interference (that cannot be estimated) arising out of imperfect estimation of the interferer fading parameters. Using estimation error covariance information, this detector shows flexibility in accommodating a wide range of interferer fading conditions     

A continuously adaptive MLSE receiver for mobile communications:algorithm and performance

The paper presents a Euclidean distance maximum likelihood sequence estimation (MLSE) receiver, based on the Viterbi algorithm (VA), suitable for fading and noisy communications channels, as that specified by the Group Special Mobiles (GSM). In a mobile cellular system, the fast varying channel characteristics, due to the fading and Doppler effects, require adaptive methods to update the channel coefficients to the MLSE receiver. The proposed technique continuously estimates the channel characteristics directly within the metric calculation of the VA. At each step of the VA, the sequence associated to the path with the best metric value (minimum-survivor method) among the survivor paths is used to update the channel estimate (employing conventional adaptive algorithms) throughout the entire informative sequence. However, the detection of the transmitted data sequence is performed by the VA only at the end of each burst. The proposed technique allows simpler receiver implementation and the simulation results show a good performance of this adaptive MLSE receiver in typical GSM environments     

一种新的基于特征向量合并的超宽带系统分集方案

针对超宽带系统在室内环境中面临严重的多径衰落问题,通常在接收端需使用RAKE接收机来收集多径能量改善性能。该文提出了一种新的分集方案,在发送端信号进行预处理,在接收端使用RAKE合并收集多径能量,同时给出了基于信道矩阵特征值估计的最佳合并权重和时延参数估计算法。理论分析和仿真结果都表明,该算法得到的输出信噪比总是大于传统的RAKE接收机输出信噪比。