自适应波束形成的SARLS算法

提出了一种改进的递推最小二乘(RLS)算法——子阵异步RLS算法(SARLS)用于自适应波束形成,改进后的算法,在总权矢量的维数为N、子权矢量维数较小时,运算量由O(N2)降到了O(N),并通过实例仿真详细地验证了算法的实用性:该算法在保持对期望信号良好接收的同时,能够很好地抑制到达方向与期望信号不同的干扰信号。     

均匀圆阵中的波束合成技术

针对均匀圆阵天线的阵列布局,建立了天线阵列对信号的接收模型,提出了一种实用的直接加权波束合成技术。在分析了系统误差来源并修正了系统误差校准模型的基础上,给出了详细的波束合成理论推导。结合实际系统给出了工程上的具体实现,并运用正交校准技术对由设备通路引起的系统误差进行校准。对该算法进行计算机仿真验证其可行性,并与实际效果图进行比较,指出算法的优点和不足。所给出的理论和方法都通过了工程检验,具有一定的实用性。     

一种基于数字波束形成的副瓣对消新技术

提出了一种基于数字波束形成 (DBF)技术进行副瓣对消的新方法。与传统的天线副瓣对消相比 ,该方法采用的对消函数与副瓣拟合得较好 ,因而对消剩余较小 ,而且无需大量的计算即可自适应地形成零点 ,能很好地抑制从副瓣进入雷达系统的干扰。     

单蜂窝多用户系统下行链路中一种基于虚用户的调度算法

提出一种应用于机会波束成形系统的基于虚用户的调度方案。在单蜂窝多用户系统下行链路中,将用户的服务质量按其所拥有的应用连接数量划分为若干级别,其中高级用户以多个普通用户的身份参与调度。将该调度方案与传统的PFS算法相结合,提出VU—PFS算法。数值分析表明,新算法在保证系统吞吐量和普通用户间公平性的同时,也为高级用户提供了一定的QoS保障。     

Scheduling Constraints and Interference Graph Properties for Graph-based Interference Coordination in Cellular OFDMA Networks

The currently emerging 802.16e (WiMAX) and 3GPP Long Term Evolution (LTE) cellular systems are based on Orthogonal Frequency Division Multiple Access (OFDMA). OFDMA suffers from heavy inter-cell interference if neighboring base stations use the same frequency range. One approach to solve this issue is the application of beamforming antennas in combination with interference coordination (IFCO) mechanisms between base stations. In this paper, we trace the problem of IFCO back to the graph coloring problem and investigate the achievable resource utilization of the interference coordinated system. We develop a heuristic that allows the combination of arbitrary scheduling algorithms with the IFCO mechanism. This allows an efficient utilization of the radio system’s frequency resources while still obeying scheduling constraints, such as Quality of Service requirements. Finally, we study the tradeoff between fairness and the total system throughput.

Cross‐Layer Resource Allocation Scheme for WLANs with Multipacket Reception

Tailored for wireless local area networks, the present paper proposes a cross‐layer resource allocation scheme for multiple‐input multiple‐output orthogonal frequency‐division multiplexing systems. Our cross‐layer resource allocation scheme consists of three stages. Firstly, the condition of sharing the subchannel by more than one user is studied. Secondly, the subchannel allocation policy which depends on the data packets’ lengths and the admissible combination of users per subchannel is proposed. Finally, the bits and corresponding power are allocated to users based on a greedy algorithm and the data packets’ lengths. The analysis and simulation results demonstrate that our proposed scheme not only achieves significant improvement in system throughput and average packet delay compared with conventional schemes but also has low computational complexity.     

认知系统中多天线协作频谱感知方案

针对认知无线电的核心问题——频谱感知,采用性能好的协作频谱感知,这里研究了认知无线电系统中一种多天线协作频谱感知方案,此方案中的噪声信号和主用户的信号均认为是独立复高斯随机信号。同时,次用户将检测到的信号通过波束成形后传向融合中心,而优化函数为发射功率受限的条件下,最大化全局的检测概率。理论推导和方针结果表明,所提出的方案有效地提高了检查概率,充分发挥了空间分集和多用户分集的优势,普遍提高了系统的感知概率。     

Robust adaptive beamforming for large-scale arrays

For a large-scale adaptive array, heavy computational load and high-rate data transmission are two challenges in the implementation of an adaptive digital beamforming system. Moreover, the large-scale array becomes extremely sensitive to array imperfections. First, based on a restructured recursive linearly constrained minimum variance algorithm and a gradient-based optimization method, a new robust recursive linearly constrained minimum variance (RRLCMV) algorithm is proposed in this paper. The computational load of the RRLCMV algorithm is on the order of o(N), which is less than that of the conventional gradient-based robust adaptive algorithm. Then, a new efficient parallel robust recursive linearly constrained minimum variance (PRRLCMV) adaptive algorithm is proposed by appropriately partitioning the RRLCMV algorithm into a number of operational modules. It can be easily executed in a distributed-parallel-processing fashion, sequentially and in parallel. As a result, the PRRLCMV algorithm provides an effective solution that can alleviate the bottleneck of high-rate data transmission and reduce the computational cost. Finally, an implementation scheme of the PRRLCMV algorithm based on a distributed-parallel-processing system is also proposed. The simulation results demonstrate that the new PRRLCMV algorithm can significantly reduce the degradation due to various array errors.     

智能天线非理想波束赋形对TD-SCDMA系统性能的影响

在实际的无线网络中,由于无线信道的复杂性以及DOA估计的误差,会导致智能天线系统的波束赋形出现一定程度的偏差。该文通过分析智能天线系统的原理,提出了非理想波束赋形智能天线对系统性能影响的研究方法,研究了智能天线系统的鲁棒性以及不理想波束赋形的智能天线对TD-SCDMA系统性能的影响。理论和仿真结果表明,波束赋形的准确度直接影响移动通信系统的性能,系统所能容忍的波束赋形偏差有一个固定的门限值,该门限值随着系统负载的增加而减小。     

基于多天线波束赋形的CRN分布式上行功率控制算法

针对工作于underlay模式的认知无线网络（CRN,Cognitive Radio Network）上行功率控制问题,本文提出一种基于多天线波束赋形,由认知基站和认知用户联合优化的分布式上行功率控制算法.联合优化的具体步骤为认知基站通过求解最大广义特征值问题完成多天线波束赋形优化;认知用户先将非线性功率优化问题转换为几何规划凸优化问题,再使用梯度法完成分布式发送功率优化;认知基站和认知用户交替优化,实现网络效用最大化.数值仿真显示,同只优化认知用户功率的上行功率控制算法相比,认知基站和认知用户联合优化的上行功率控制算法不仅能得到更大的网络效用值,而且对主用户的干扰具有鲁棒性.