一种适用于密集车辆V2X网络的中继节点选择和功率分配优化方法简

密集车辆的V2X网络中由于车辆相对位置快速变动,需要低复杂度的快速中继节点选择算法和功率分配优化算法。本文利用V2X网络节点定期广播的心跳信息,提出了一种基于信道容量运算的中继节点选择和功率分配优化方法,避免了大量的循环迭代,满足V2X网络的要求。     

Resource allocation for OFDM relay systems with statistical QoS guarantees

By integrating the concept of effective capacity, we propose the resource allocation schemes for subcarrier‐pair based OFDM decode‐and‐forward and amplify‐and‐forward relay systems for quality‐of‐service (QoS) guarantees. The objective is to maximize the system throughput subject to a given statistical delay QoS constraint. First, we pair the subcarriers over the source‐relay channel and the relay‐destination channel by the descending order of the subcarriers' channel gains. Second, by making use of the derived equivalent end‐to‐end channel gains of the subcarrier pairs, we apply joint water‐filling power allocation over the subcarrier pairs and then partition the power of the subcarrier pairs between the source and the relay. We prove that as the equivalent end‐to‐end channel gains of the subcarrier pairs are given, the combination of sorted subcarrier pairing and joint water‐filling power allocation is jointly optimal to maximize the effective capacity. The simulation results show that our proposed schemes achieve the highest effective capacity for OFDM decode‐and‐forward and amplify‐and‐forward relay systems as compared with other existing schemes. The results also verify that our proposed schemes can efficiently provide different levels of delay QoS guarantees, even if under the stringent delay QoS constraints. Copyright © 2012 John Wiley & Sons, Ltd.     

Utility‐optimal cross‐layer resource allocation in distributed wireless cooperative networks

In this paper, we propose a distributed cross‐layer resource allocation algorithm for wireless cooperative networks based on a network utility maximization framework. The algorithm provides solutions to relay selections, flow pass probabilities, transmit rate, and power levels jointly with optimal congestion control and power control through balancing link and physical layers such that the network‐wide utility is optimized. Via dual decomposition and subgradient method, we solve the utility‐optimal resource allocation problem by subproblems in different layers of the protocol stack. Furthermore, by introducing a concept of pseudochannel gain, we model both the primal direct logical link and its corresponding cooperative transmission link as a single virtual direct logical link to simplify our network utility framework. Eventually, the algorithm determines its primal resource allocation levels by employing reverse‐engineering of the pseudochannel gain model. Numerical experiments show that the convergence of the proposed algorithm can be obtained and the performance of the optimized network can be improved significantly. Copyright © 2012 John Wiley & Sons, Ltd.     

Design of Distributed Beamforming for Dual‐Hop Multiple‐Access Relay Networks

This paper studies a dual‐hop multiple‐access relay network where two independent source nodes transmit information to a common destination node with the aid of multiple single‐antenna amplify‐and‐forward relays. Each relay node is subject to an individual power constraint. We focus on the design of distributed beamforming schemes for the relays to support the transmission rate requirements of the two sources. To this end, we first characterize the achievable rate region for this network via solving a sequence of corner point optimization problems proposed in this paper. We also develop several low‐complexity suboptimal schemes in closed form. Two inner bounds of the achievable rate region are theoretically shown to be approximately optimal in two special scenarios. Finally, numerical results demonstrate the effectiveness of our proposed approaches.     

Generalized Maximum Likelihood Noncoherent Block Detection for Decode-and-Forward Relay Systems

This paper considers noncoherent cooperative decode-and-forward （DF） half- duplex multi-branch relay systems. Each relay branch is modeled as a probabilistic transition system at the last hop, and thus it can be considered as a relaying chain comprising multi-hop relays. An approximation to the generalized maximum likelihood （ML） noncoherent block detection is derived for uncoded M-ary modulation in a faded noisy environment. In particular, the derived noncoherent block detection in a noiseless case is equivalent to a multichannel reception with full diversity. Furthermore, the generalized detection is extended specifically to block coded M-ary phase shift keying （MPSK） modulation. For a DF three node relay system using block coded quadrature phase shift keying （QPSK）, simulation results are provided to examine the end-to-end error performance of the noncoherent detection with considering the effects of network geometry and power allocation, respectively. It is shown that under a fixed power allocation, a proper relay placement can yield near full diversity for large signal-to-noise ratio.     

A Multi-Vehicle Cooperative Localization Method Based on Belief Propagation in Satellite Denied Environment

The global navigation satellite system (GNSS) is currently being used extensively in the navigation system of vehicles. However, the GNSS signal will be faded or blocked in complex road environments, which will lead to a decrease in positioning accuracy. Owing to the higher-precision synchronization provided in the sixth generation (6G) network, the errors of ranging-based positioning technologies can be effectively reduced. At the same time, the use of terahertz in 6G allows excellent resolution of range and angle, which offers unique opportunities for multi-vehicle cooperative localization in a GNSS denied environment. This paper introduces a multi-vehicle cooperative localization method. In the proposed method, the location estimations of vehicles are derived by utilizing inertial measurement and then corrected by exchanging the beliefs with adjacent vehicles and roadside units. The multi-vehicle cooperative localization problem is represented using a factor graph. An iterative algorithm based on belief propagation is applied to perform the inference over the factor graph. The results demonstrate that our proposed method can offer a considerable capability enhancement on localization accuracy.     

重尾非高斯定位噪声下鲁棒协同目标跟踪

针对定位数据的统计特性未知且易受异常值干扰而影响协同目标跟踪性能的问题,提出一种重尾非高斯定位噪声下的鲁棒协同目标跟踪方法. 该方法假设定位噪声服从多元学生t-分布,建立联合估计目标状态与定位噪声参数的贝叶斯模型. 针对目标状态与噪声分布参数相互耦合而难以计算联合后验分布的问题,应用变分贝叶斯推断原理和平均场理论对后验分布进行解耦,将目标状态与定位噪声参数的联合后验分布估计问题转化为最优化问题,以交替优化的方式实现系统参数的在线递推估计. 对提出的协同目标跟踪方法进行测试. 仿真结果表明,当定位数据中存在未知的野值噪声时,提出的协同跟踪算法具有较好的鲁棒性.     

无人机接力测控数据链设计

针对电力巡检、油气管道巡线等长距离、跨省区、超视距巡检场景,提出了一种站间接力的无人机巡线数据链系统.系统在巡查线路沿线设置多个地面站,以码分多址(Code Division Multiple Access,CDMA)为基础,设计了一种跨站软切换算法,随着飞行巡检线路实现无人机控制权在地面站间的无缝软切换.对8个地面站...     

基于瓦斯继电器挡板转角特性的油浸式变压器运行状态监测方法

瓦斯继电器是变压器中重要的非电量保护设备,现有瓦斯继电器只有在挡板旋转到一定角度触发干弹簧片才发生重瓦斯报警,并不能判断变压器在发生重瓦斯故障前的运行状态和故障发展过程.文章提出一种基于瓦斯继电器挡板转角的变压器运行状态监测方法.改进瓦斯继电器的部分结构,通过在挡板背面安装霍尔传感器,实现了挡板转角信号的提取.然后研制...     

基于信标导引的目标方位估计方法

基于准确测量目标方位进而快速实施救援的需要,采用无线信标、电子磁罗盘和卫导组合技术,设计了一种集发射端信标信号全向发射、接收端信标信号定向接收、数字化声谱处理、干扰野值剔除、信标方位精确测量、信标距离概略估计等功能于一体的户外搜救导引系统。并研究分析了一种基于信标导引的目标方位估计方法,该方法通过接收远程、配属在合作目标端信标发射的声波脉冲信号并进行FFT变换,进而通过分析频谱的特征参数来对目标的方位进行准确测量,对目标的距离进行概略估计;测试结果表明该方法比较适合郊区和城市等户外环境中对合作目标进行快速探测搜救和远程监视的需要。