Gram—Schmidt正交化算法在简化CDMA多用户检测算法中的应用

本文介绍了Ｇｒａｍ－Ｓｃｈｍｉｄｔ正交化算法在ＣＤＭＡ判决反馈多用户检测器中的应用。新的多用户判决反馈检测算法基于对ＣＤＭＡ扩频序列族采用Ｇｒａｍ－Ｓｃｈｍｉｄｔ正交化算法得到的一组正交归一化序列。引入了Ｇｒａｍ－Ｓｃｈｍｉｄｔ正交化算法得到的系统性能与原系统完全相同,但大大简化了检测器的结构。     

基于Hopfield神经网络的多用户信号检测器

用连续Ｈｏｐｆｉｅｌｄ神经网络实现ＣＤＭＡ通信系统中多用户信号检测的设想，并针对同步ＣＤＭＡ系统构造了基于连续Ｈｏｐｆｉｅｌｄ神经网络的用户信号检测器。计算机仿真结果表明：这种检测器的性能远远优于传统检测器的性能，它的性能可与最佳多用户信号检测相比拟。     

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。     

DS/CDMA系统中的多用户检测技术

多用户检测技术可抑制多址干扰（ＭＡＩ）,从而提高ＣＤＭＡ系统的容量和性能。介绍了多用户检测器的分类和自适应算法、盲算法在多用户检测中的应用。     

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。     

神经网络多用户检测

介绍了基于神经网络的ＣＤＭＡ系统最佳多用户检测器和盲多用户检测器，给出了它们的发展现状，讨论了各自的原理和实现技术，比较了其性能，并指出了今后可能的努力方向。     

与窄带微波系统共享频段的CDMA系统性能分析

本文分析了与窄带微波系统共享频段的ＣＤＭＡ系统的误码性能，给出了ＤＳ／ＣＤＭＡ接收机使用一个多径判决反馈滤波器后的计算机模拟数值结果。     

基于Hopfield神经网络的DS—CDMA多用户检测

从新的角度研究ＤＳ－ＣＤＭＡ（直接序列码分多址）系统中的多用户检测，将多用户检测的优化问题映射为Ｈｏｐｆｉｅｌｄ神经网络（ＨＮＮ）“能量”函数的最小化问题，利用连续ＨＮＮ固有的快速下降特性，实现了坟对ＣＤＭＡ（码分多址）系统的多用户检测。与现有各种方案比较，具有运算量小、抗远近效应强、实时性好等优点。     

一种新的去偏解相关多用户检测器

本文从ＤＳ－ＣＤＭＡ系统模型出发,研究了异步传输信道下接收信号的矩阵表达式并作了合理的近似,提出了一种新的适用于异步ＤＳ－ＣＤＭＡ信道的去偏解相关多用户检测器。研究结果表明,这种多用户检测器具有优良的性能,其运算复杂度较低,具有较强的抑制多址干扰和克服“远－近”效应能力。     

直扩码分多址个人通信系统在衰落信道中的多用户信号检测

本文在ＤＳ－ＣＤＭＡ ＰＣＮ系统抗干扰性能的分析中，首次提出了用户归一化扩频信号等效左半部分和等效右半部分的分析模型，并在此基础上有效地结合传统扩频通信ＲＡＫＥ接收机的抗多径性能和多用户信号检测器的抗多址干扰特性，得到了一种能同时消除同频干扰和对抗多径多用户信号检测新方法。     

平坦瑞利衰落信道中多用户检测器的性能分析

在采用传统信号检测方式的CDMA系统中,多址干扰限制了系统的容量和性能.本文分析了在精确估计信道的情况下平坦瑞利衰落信道中的判决反馈和线性解相关两种多用户检测器的性能,主要分析了二者的误码率性能和抗远近效应的能力,并首次分析了衰落信道中的渐近多用户效率(AME).结果表明,判决反馈多用户检测器的渐近多用户效率优于线性解相关检测器.     

Decorrelating decision-feedback multiuser detector for synchronouscode-division multiple-access channel

A decorrelating decision-feedback detector (DF) for synchronous code-division multiple-access (CDMA) that uses decisions of the stronger users when forming decisions for the weaker ones is described. The complexity of the DF is linear in the number of users, and it requires only one decision per user. It is shown that performance gains with respect to the linear decorrelating detector are more significant for relatively weak users and that the error probability of the weakest user approaches the single-user bound as interferers grow stronger. The error rate of the DF is compared to those of the decorrelator and the two-stage detector     

Performance Comparison of Multiuser Detectors with Channel Estimation for Flat Rayleigh Fading CDMA Channels

Since the conventional detector performs poorly in bandwidth-efficient Code Division Multiple Access (CDMA) systems, several multiuser detectors were proposed recently. In this paper, we compare performance of the decorrelator, the two-stage detector (2S), and the decision-feedback detector (DF) for the Rayleigh flat fading synchronous CDMA channel. First, assuming perfect channel estimation, we show that the 2S and the DF have much lower bit error rate (BER) than the decorrelator, and prove that the ideal DF has unity Asymptotic Multiuser Efficiency (AME). Furthermore, we evaluate the performance of these detectors in the presence of channel mismatch. We model the Rayleigh flat fading channel as the second order Auto Regressive (AR) process, and use the Kalman filter as the channel estimator. The lower bounds on the BER of the 2S and the DF are derived. The analytical results and the simulations show that the estimation error accumulated due to cancellation of other users limits the performance of the 2S and the DF. Therefore, in the presence of channel mismatch, the decorrelator offers comparable or even better performance than more complex decision-feedback and two-stage detectors.     

A low complexity multiuser detector for synchronous CDMA system

In a code-division multiple-access (CDMA) system, multiuser detection (MUD) can exploit the information of signals from other interfering users to increase the system capacity. However, the optimum MUD for CDMA systems requires the solution of an NP-hard combinatorial optimization problem. It is well known that the computational complexity of the optimum multiuser detector is exponential with the number of active users in the system. In this paper, we apply a hybrid algorithm to develop a suboptimal MUD strategy. The result of symmetric successive overrelaxation (SSOR) preconditioned conjugate-gradient method is first used to initialize the reduced-complexity recursive (RCR) multiuser detector. Then, RCR algorithm is applied to detect the received data bit by optimizing an objective function in relation with the linear system of decorrelating detector. Simulation results for the synchronous case show that the performance of our proposed SSOR-RCR multiuser detector is promising and outperform the decorrelator and linear minimum mean squared error multiuser detector with lower computational complexity.     

Optimal user ordering and time labeling for ideal decision feedback detection in asynchronous CDMA

A strategy of user ordering and time labeling for a decision feedback (DF) detector in asynchronous code-division multiple-access communications is proposed and is proved to be optimal for the ideal DF detector. The proposed algorithm requires O(K/sup 4/) offline operations, where K is the number of users. Although error propagation complicates the analysis of the actual DF detector, computer simulations show that, with the proposed user ordering and time labeling, the performance of an actual DF detector overlays the theoretical bound in most cases.     

基于LMK准则的盲自适应多用户检测器

 本文提出了一种加性高斯白噪声(AWGN)信道下,同步直扩码分多址(DS/CDMA)系统的基于LMK(最小平均峰度,Least Mean Kurtosis)准则的线性盲自适应多用户检测器.这种检测器的算法是一种具有较低计算量的基于高阶统计量的算法.分析证明了这种检测器的算法的收敛性和可以实现多用户信号的盲解相关.并对基于该准则的线性盲自适应检测器和基于LMS(最小均方,Least Mean Square)准则的检测器的收敛性能进行了仿真比较.     

Weighted interference cancellation detector for convolutionallycoded CDMA system

Weighted interference cancellation is proposed to improve the post-decoding interference cancellation detector in a convolutionally coded CDMA system. A weight determination method is presented in which the estimated information bit error probability from the soft-output Viterbi algorithm is used. Simulation results show that the proposed scheme outperforms the previous post-decoding interference cancellation detector     

Noise-predictive decision-feedback detection for multiple-input multiple-output channels

The decision-feedback (DF) detector is a nonlinear detection strategy for multiple-input multiple-output (MIMO) channels that can significantly outperform a linear detector, especially when the order in which the inputs are detected is optimized according to the so-called Bell Labs Layered Space-Time (BLAST) ordering. The DF detector may be implemented as the cascade of a linear detector, which mitigates interference at the expense of correlating the noise, followed by a noise predictor, which exploits the correlation in the noise to reduce its variance. With this architecture, existing linear detectors can be easily upgraded to DF detectors. We propose a low-complexity algorithm for determining the BLAST ordering that is facilitated by the noise-predictive architecture. The resulting ordered noise-predictive DF detector requires fewer computations than previously reported ordered-DF algorithms. We also propose and derive the ordered noise-predictive minimum-mean-squared-error DF detector and show how to determine its BLAST ordering with low complexity.     

基于横向型滤波器的多用户检测器

本文将横向型滤波器算法应用于CDMA系统之中，从而实现多用户检测的功能。分析和仿真结果表明，该类多用户检测器具有较好的抗“远近效应”能力和较为简单的结构，具有广泛的应用前景。     

CDMA中的半盲恒模算法

该文研究了应用于CDMA上行链路多用户检测中的半盲恒模算法。它首先利用非盲算法消除所有小区内干扰用户的影响,接着再利用盲算法抵消剩余的干扰。通过仿真实验,将之与盲恒模算法及解相关算法相比较,可以看出在于扰用户增多时,本文提出的半盲恒模算法的性能明显优于另外两种算法。