共查询到19条相似文献,搜索用时 93 毫秒
1.
提出了一种行之有效的将智能天线技术同多用户检测技术结合的空-时接收方法,并对其参数进行了优化。它根据误码率信息有选择地实施干扰消除,先并行消除低误码率用户信号的影响,再检测高误码率用户信号。它复杂度低,计算效率高,易于实时实现,具有很好的应用价值。蒙特卡洛仿真实验表明,该方法可以显著改善码分多址移动通信系统的性能。 相似文献
2.
3.
本文讨论非同步码分多址系统中相参解调用的自适应线性与判决反馈接收机的构成,假定自适应接收机没有其它用户的标波形和定时信息,该接收机在数据传输之前受到已知序到的训练并在数据传输时由自适应算法连续调整,所推荐的线性接收机,如同常系数匹配滤波器构成的标准单用户接收机那样简单,但就定时恢复、消除多址干扰、近/远效应、窄带和频率选择性衰落干扰抑制以及用户保密而言,却能获得一些根据性的好处,自适应集中判决反馈 相似文献
4.
5.
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。 相似文献
6.
为节省频率资源,全双工中继一般采用相同的频率接收和发射信号。由于收发天线之间无法充分隔离,接收天线容易受到自身发射天线的回波干扰。针对宽带全双工多输入多输出( MIMO)中继的自干扰问题,提出了一种基于梯度下降自适应算法的自干扰消除方法。该方法利用中继反馈的已知信号进行自干扰信道估计,并产生一个对自干扰信号的估计信号,从而在接收端将干扰抑制。仿真结果表明,该方法在自适应滤波器的跟踪性能、收敛分布和不同 MIMO 配置下的均方误差( MSE)性能等方面均取得良好效果。 相似文献
7.
随着移动通信的发展,多速率数据通信业务越来越多。第三代移动通信系统能够支持可变服务质量的不同数据速率业务。因此,多速率接收机的研究也越来越引起重视。多速率系统中,当干扰信号具有不同速率参数时,不同用户的周期平稳性不同,单速率自适应FIR接收机的性能会严重下降。提出了一种适合于多速率多址干扰下的自适应滤波器组接收机,仿真结果表明,自适应滤波器组接收机能够更有效地消除多种模式的多址干扰,比单速率接收机具有更好的性能。 相似文献
8.
针对MIMO(多输入多输出)通信系统中传统的基于软干扰消除和MMSE(最少均方误差)滤波器的迭代接收方案对信道相关性较敏感的问题。提出了一种基于混合干扰消除(软干扰消除和硬干扰消除)以及MMSE滤波器的检测算法,并引入一个确信机制来控制错误传播问题。仿真结果表明,新算法相比传统的算法在相关信道环境下有明显的性能增益。定性的计算复杂度分析表明新算法在恰当的系统配置下比传统算法具有更低的计算复杂度。 相似文献
9.
本文提出了一种用于多入多出(MIMO)比特交织编码调制(BICM)系统的低复杂度迭代接收机方案.该方案在第一次迭代中采用线性最小均方误差(MMSE)滤波,而在随后的迭代中采用一种低复杂度MMSE结合软干扰消除(SIC)的算法来抑制残余干扰和噪声.该算法通过将软干扰消除后的残余干扰和噪声的各分量近似为不相关的随机变量,使得在MMSE滤波时不必矩阵求逆,从而大大降低了计算复杂度.仿真证实该方案可以获得和传统的基于MMSE结合SIC的方案几乎相同的性能。 相似文献
10.
11.
联合均衡块迭代软判决反馈干扰抵消接收机 总被引:1,自引:0,他引:1
CDMA扩频通信系统在低扩频比时,路径间干扰(IPI, inter-path interference)变得非常严重。本文将块迭代干扰抵消同MMSE均衡器相结合,提出了一种适用于CDMA扩频通信系统低扩频比情况下的联合均衡块迭代软判决反馈干扰抵消(MMSE-BIIC)接收机结构。理论分析与计算机仿真表明,本文提出的MMSE-BIIC接收机同传统的Rake接收机、线性MMSE均衡器以及多级干扰抵消接收机相比在性能上有较大改善。 相似文献
12.
13.
14.
In LTE/LTE-A uplink receiver, frequency domain equalizers (FDE) are adopted to achieve good performance. However, in multi-tap channels, the residual inter-symbol and inter-antenna interference still exist after FDE and degrade the performance. Conventional interference cancellation schemes can minimize this interference by using frequency domain interference cancellation. However, those schemes have high complexity and large feedback latency, especially when adopting a large number of iterations. These result in low throughput and require a large amount of resource in software defined radio implementation. In this paper, we propose a novel low complexity interference cancellation scheme to minimize the residual interference in LTE/LTE-A uplink. Our proposed scheme can bring about 2 dB gains in different channels, but only adds up to 7.2 % complexity to the receiver. The scheme is further implemented on Xilinx FPGA. Compared to other conventional interference cancellation schemes, our scheme has less complexity, less data to store, and shorter feedback latency. 相似文献
15.
Emad K. Al‐Hussaini Hebatallah M. Mourad Ramy H. Gohary 《Wireless Communications and Mobile Computing》2002,2(4):405-420
In this paper, we propose and analyse parallel CCI multistage cancellation by combining RAKE and selection diversity. In order to account for channel variations, adaptive implementation of decision thresholds at the RAKE output is suggested. It is shown to provide significant improvement over either hard or soft decision techniques especially in the near‐far situation. Investigation of the system robustness to imperfect channel parameter estimation is also presented. The communication channel is modelled as slowly varying Rayleigh fading discrete multipath channel. Copyright © 2002 John Wiley & Sons, Ltd. 相似文献
16.
17.
18.
Indu Shakya Falah H. Ali Elias Stipidis 《International Journal of Communication Systems》2009,22(1):1-23
An effective design of multistage parallel interference cancellation (PIC) receiver using blind adaptive (BA) despreader and pre‐respreader interference estimator for uplink CDMA is proposed and analysed. A novel algorithm is designed, which exploits constant modulus (CM) property of the users' transmitted signals and inherent channel condition to perform adaptive despreading based on minimum error variance criteria. This is carried out by BA weighting of each chip signal for accurate tracking of the desired user's signal power and hence for more improved data detection at the output of each stage of PIC. Furthermore, the despreader weights are used within the adaptive pre‐respreader interference estimation and cancellation to obtain online scaling factors during every symbol period, without any knowledge of users' channels or the use of training sequences. It is found that this way of estimation is optimal in minimum mean squared error sense, and hence, significant reduction in interference and noise variance is observed in detection and estimation of the desired users' signals compared with conventional PIC. Bit error probability of the proposed PIC is obtained using Gaussian Approximation method. Extensive simulation results are shown, which demonstrate impressive performance advantage in fading environments, high system loading, and severe near far conditions. Copyright © 2008 John Wiley & Sons, Ltd. 相似文献