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A Piecewise RLS-Based Digital Predistortion Scheme for Power Amplifier 一种基于分段rls的功率放大器数字预失真方案
Zhisheng Jiang, Jingqi Wang, Wen Wu
The recursive least square(RLS) algorithm is a popular candidate for extracting parameters in digital pre-distortion because of its fast convergence and high accuracy. However, it suffers from instable convergence which leads to undesirable peak values on the error curve. In this paper, a piecewise RLS-based scheme for RF power amplifier digital pre-distortion is proposed. The proposed scheme divides the input signal into two categories, peak and non-peak, then by using RLS algorithm, it generates two sets of pre-distortion parameter, which are subsequently applied to peak signals and non-peak signals respectively. Simulation results show that the piecewise RLS is superior to the traditional method in terms of the stability and the adjacent channel power ratio (ACPR) improvement.
递推最小二乘(RLS)算法以其收敛快、精度高的优点,成为数字预失真中提取参数的热门方法。然而,它的收敛性不稳定,导致误差曲线上出现不希望出现的峰值。提出了一种基于分段rls的射频功率放大器数字预失真方案。该方案将输入信号分为峰值和非峰值两类,然后利用RLS算法生成两组预失真参数,分别应用于峰值信号和非峰值信号。仿真结果表明,分段RLS在稳定性和相邻信道功率比(ACPR)改善方面优于传统方法。
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引用次数: 1
An Internal Node Reprogrammable Security Scheme Based on IEEE 802.15.6 in Wireless Body Area Networks 基于IEEE 802.15.6的无线体域网络内部节点可编程安全方案
Wenbin Jiang, Jin Tan, William Liu
Reprogramming is a mechanism for software upgrade in the deployed devices. It is used to repair bugs in the running of the device or change the software function of the device according to the new requirements. Because the wireless body area network (WBAN) needs long-term operation, the software maintenance of the node is unavoidable. The traditional reprogramming technique can upgrade the nodes through the serial communications. However, for the internal node implanted in the WBAN, the serial port upgrade requires extra surgery. It is inconvenient and costly for the patients. Therefore, using the Over-The-Air approach for software upgrades is more suitable for the WBAN internal nodes situations. Due to the vulnerability caused by the openness of wireless networks, we propose a reprogrammable security scheme for WBAN internal nodes based on IEEE 802.15.6 protocol. It guarantees the safety in the reprogramming process based on the temporary key and the master key between the nodes and sinks.
重编程是一种在已部署设备中进行软件升级的机制。用于修复设备运行中的bug,或根据新的要求更改设备的软件功能。由于无线体域网络(WBAN)需要长期运行,节点的软件维护是不可避免的。传统的重编程技术可以通过串行通信对节点进行升级。但是,对于植入WBAN的内部节点,串口升级需要额外的手术。这对病人来说既不方便又昂贵。因此,采用Over-The-Air方式进行软件升级更适合WBAN内部节点的情况。针对无线网络开放性带来的安全漏洞,提出了一种基于IEEE 802.15.6协议的WBAN内部节点可编程安全方案。它通过节点和汇点之间的临时密钥和主密钥保证了重编程过程的安全性。
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引用次数: 1
Optimization of Wireless Sensor Network by Applying Small World Concept with UAVs 基于小世界概念的无人机无线传感器网络优化
Ruirui Zhang, Li Guo, Chao Dong
Wireless Sensor Networks (WSNs) composed of many homogeneous sensors have attracted more attention especially with the integration of 5G networks. However, this kind of network suffers from significant latency during data transmission. Latency can be reduced by capitalizing on the Small World characteristic, in combination with the flexibility of Unmanned Aerial Vehicles (UAVs). The main work of interest of this paper is how to deploy UAVs and design UAV-assisted Small World WSNs. Firstly, we propose a region partition method based on routing hops to determine the target area for each UAV. Next, the Air-to-Ground channel model is adopted to determine the optimal altitude of UAVs, and the optimal horizontal location of UAVs formulated as a Mixed-Integer Nonlinear Programming problem which depends on the sensors distribution is put forward. Finally, an algorithm which analyzes the data transmission flow to create shortcuts between UAVs and sensor nodes is introduced.The simulation results fully validate the effectiveness and efficiency of the proposed scheme which not only reduces the data transmission delay but also attains high throughput compared with the traditional WSN. Furthermore, the optimal deployment scheme outperforms the random deployment on average.
随着5G网络的融合,由多个同质传感器组成的无线传感器网络(WSNs)越来越受到人们的关注。然而,这种网络在数据传输过程中存在明显的延迟。通过利用小世界特性,结合无人机的灵活性,可以减少延迟。本文主要研究如何部署无人机和设计无人机辅助的小世界无线传感器网络。首先,提出了一种基于路由跳数的区域划分方法,确定每架无人机的目标区域;其次,采用空对地通道模型确定无人机的最优高度,并将无人机的最优水平位置表述为一个依赖于传感器分布的混合整数非线性规划问题;最后,介绍了一种分析数据传输流程,在无人机与传感器节点之间创建快捷方式的算法。仿真结果充分验证了该方案的有效性和高效性,与传统的无线传感器网络相比,不仅降低了数据传输延迟,而且实现了较高的吞吐量。最优部署方案的平均性能优于随机部署方案。
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引用次数: 1
MMSE and LS Interference Alignment Algorithm Based on Symbol Detection 基于符号检测的MMSE和LS干扰对齐算法
G. Jia, Han Zhang, Gaofeng Zhang
The basic idea of Interference Alignment consists in precoding the transmitted signals such that they are aligned at the receiver where they constitute interference, while at the same time disjointed from the desired signal. In this paper, the minimum mean square error (SDA - MMSE) algorithm and the least squares (SDA - LS) algorithm based on symbol detection are proposed on the traditional MMSE algorithm and the least squares (LS) algorithm. Firstly, the iterative calculation is carried out based on the traditional algorithm, and then the iterative calculation is carried out by using the improved algorithm. The simulation results show that the proposed algorithm has better system performance than the traditional algorithm, and the system performance of SDA-MMSE algorithm is found to be optimal.
干扰对齐的基本思想包括对发射信号进行预编码,使它们在构成干扰的接收器处对齐,同时与期望的信号断开。本文在传统MMSE算法和最小二乘(LS)算法的基础上,提出了最小均方误差(SDA - MMSE)算法和基于符号检测的最小二乘(SDA - LS)算法。首先基于传统算法进行迭代计算,然后使用改进算法进行迭代计算。仿真结果表明,该算法比传统算法具有更好的系统性能,其中SDA-MMSE算法的系统性能最优。
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引用次数: 0
Electromagnetic Compatibility of Microwave Energy Transmission System and Adjacent Frequency Communication System 微波能量传输系统与邻频通信系统的电磁兼容性
Yifan Zhang, Hongxin Zhang, Weiqi Chen
The wireless microwave energy transmission system will excite high-frequency electromagnetic fields in the surrounding space when it works. If the electromagnetic disturbance value of the radiation is too large, it will cause electromagnetic interference to the surrounding environment, which will affect the normal operation of the equipment and system in the electromagnetic environment. In this paper, through the simulation and analysis of the electromagnetic radiation generated by the microwave energy transmission system, the electromagnetic radiation of the microwave energy transmission system to the surrounding environment is analyzed and evaluated. Based on ANSYS EMIT, the blocking interference generated by the microwave energy transmission system to the adjacent band communication system in the surrounding environment is predicted. The electromagnetic compatibility between the microwave energy transmission system and the communication system is studied.
无线微波能量传输系统在工作时,会激发周围空间的高频电磁场。如果辐射的电磁干扰值过大,则会对周围环境造成电磁干扰,影响在电磁环境中的设备和系统的正常工作。本文通过对微波能量传输系统产生的电磁辐射进行仿真分析,对微波能量传输系统对周围环境的电磁辐射进行分析评价。基于ANSYS EMIT,对周围环境中微波能量传输系统对相邻频段通信系统产生的阻塞干扰进行了预测。研究了微波能量传输系统与通信系统之间的电磁兼容性。
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引用次数: 0
Combined Thermal Infrared and Visible Cameras for Pedestrian Detection and Tracking 用于行人检测和跟踪的热红外和可见光组合摄像机
Li Wei, Lu Naiguang, Dong Mingli
In order to enhance the accuracy and real-time performance of mobile robot in complex environment, a pedestrian detection and tracking method combined with infrared and visible image features is proposed. Firstly, a 4 degree of freedom multispectral vision platform is designed. Secondly, a coarse-fine pedestrian detection and tracking is implemented by using census transform histogram (CENTRIST) descriptor and kernel correlation filtering (KCF). Then, a head-eye coordination control strategy for multispectral vision platform is established. Finally, the accuracy of pedestrian detection and tracking algorithm as well as the effectiveness of the active visual tracking system are verified. The experimental results clearly demonstrate the effectiveness of our multispectral visual tracking system compared to that based on visible or infrared spectrum singly, and the success rate of pedestrian tracking based on multispectral images is increased by 28.9% and 10.1% respectively.
为了提高移动机器人在复杂环境下的精度和实时性,提出了一种结合红外和可见光图像特征的行人检测与跟踪方法。首先,设计了一个4自由度多光谱视觉平台;其次,利用人口普查变换直方图(CENTRIST)描述符和核相关滤波(KCF)实现粗-精行人检测与跟踪;然后,建立了多光谱视觉平台的头眼协调控制策略。最后,验证了行人检测和跟踪算法的准确性以及主动视觉跟踪系统的有效性。实验结果清楚地证明了多光谱视觉跟踪系统的有效性,与单一的可见光或红外光谱相比,基于多光谱图像的行人跟踪成功率分别提高了28.9%和10.1%。
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引用次数: 0
An Energy Sensing Clustering Algorithm in Rechargeable Wireless Sensor Network 一种可充电无线传感器网络中的能量感知聚类算法
Fan Wu, Huang Mei, Liu Yuan-an
Clustering algorithm in rechargeable wireless sensor network (RWSN) is critical before developing a charging strategy. To improve the charging efficiency, reduce the total charging time and energy consumption, this paper proposes an Energy Sensing Clustering Algorithm (ESCA) considering of location and residual energy information of nodes simultaneously. The concept of the hybrid center to calculate the Wireless Charging Vehicle (WCV) charging location is introduced to completes the clustering iteration with the improved k-means. The simulation results show that ESCA performs better in WCV total charging time and charging efficiency.
在可充电无线传感器网络(RWSN)中,聚类算法是制定充电策略的关键。为了提高充电效率,减少总充电时间和能耗,提出了一种同时考虑节点位置和剩余能量信息的能量感知聚类算法(ESCA)。引入混合中心的概念来计算无线充电车辆(WCV)的充电位置,利用改进的k-means完成聚类迭代。仿真结果表明,ESCA在WCV总充电时间和充电效率方面具有较好的性能。
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引用次数: 0
Polymorphic Load Balancing Algorithm Based on Packet Classification 基于分组分类的多态负载均衡算法
Dapeng Man, Wu Yang, Guoqing Tian
Through the analysis of the existing load balancing algorithm, aiming at the local hot spots appearing in network traffic may cause "starvation" or overload in the processing core, this paper proposes a multi-state load balancing algorithm based on packet classification SDLBA. The algorithm uses static load balancing algorithm for non-TCP packets and dynamic load balancing algorithm for TCP packets. The static load balancing algorithm uses the traditional hash algorithm to load. The dynamic load balancing algorithm adopts the idea of a combination of a light overload table and a heavy overload table. When the light load threshold is satisfied, a new connection re-mapping strategy is adopted to meet the heavy load threshold The core connectivity migration strategy is adopted to periodically update each processing core load and light, heavy load table and other data table information so that each processing core tends to balance the load as much as possible when the flow is complete.
通过对现有负载均衡算法的分析,针对网络流量中出现的局部热点可能导致处理核心“饥饿”或过载的问题,本文提出了一种基于分组分类SDLBA的多状态负载均衡算法。该算法对非TCP报文采用静态负载均衡算法,对TCP报文采用动态负载均衡算法。静态负载均衡算法采用传统的哈希算法进行加载。动态负载均衡算法采用轻过载表和重过载表相结合的思想。当满足轻负载阈值时,采用新的连接重映射策略来满足重负载阈值。采用核心连通性迁移策略,定期更新各处理核心负载和轻、重负载表等数据表信息,使各处理核心在流程完成时尽可能趋向于均衡负载。
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引用次数: 1
Wideband Rapid Electric Field Measurement with High Sensitivity based on Optical Frequency Comb 基于光频梳的高灵敏度宽带快速电场测量
Yakai Dong, Shuguo Xie, Yan Yang, Yuanyuan Li
Aiming to solve the problem of mutual restriction of sensitivity and measuring speed in traditional broadband electric field measurement, a wideband rapid electric field measurement method with high sensitivity based on optical frequency comb is proposed and the corresponding frequency recovery algorithm is designed. An electric field measurement system consisting of femtosecond lasers, an optical electric field sensor and a high speed digital acquisition card was built, tested and verified by experiments. Experiment results indicated that the sensitivity of the system is better than that of 20mV/m in the range of 1-9.5GHz, and the uncertainty of frequency recovery is within 1MHz, and single measuring time is about 2 minutes.
针对传统宽带电场测量中灵敏度与测量速度相互制约的问题,提出了一种基于光频梳的高灵敏度宽带快速电场测量方法,并设计了相应的频率恢复算法。搭建了由飞秒激光器、光学电场传感器和高速数字采集卡组成的电场测量系统,并通过实验进行了测试和验证。实验结果表明,该系统在1 ~ 9.5 ghz范围内的灵敏度优于20mV/m,频率恢复的不确定度在1MHz以内,单次测量时间约为2分钟。
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引用次数: 2
Scalping Anomaly Detection Based on Mobile Internet Traffic Data 基于移动互联网流量数据的剥头皮异常检测
Chuting Wu, K. Yu, Xiaofei Wu
With the development of Internet and E-commerce, scalping phenomenon becomes more common and severe. Because of the giant profit, some software means such as scripts and batching-operation are utilized by the profiteers, to scalp tickets or discount coupons from retailers and sell to the buyers. So, an effective way to detect scalping on Internet is important and necessary for online retailers. In this paper, we propose a new integrated method called SADM (Scalping Anomaly Detection Method) to detect the special abnormal behavior, scalping. We collect mobile traffic data from ISPs (Internet Service Providers) and process them to the NFP data (Network Fingerprint data), which records detailed activities on mobile Internet created by users' cell phones. After that, SADM constructs the powerful feature set by the means of feature engineering consisting of feature extraction and feature selection. We combine statistic method and subspace method RPCA-ADMM (Robust PCA-Alternating Direction Method of Multipliers) for a more robust feature set. For anomaly detection models, clustering methods are used to produce the final scalping blacklist. The experiment results show that our SADM method is useful for detecting the special scalping behavior generated by malware.
随着互联网和电子商务的发展,倒卖现象越来越普遍和严重。由于利润巨大,奸商利用脚本、批处理等软件手段,从零售商手中倒卖门票或折扣券,卖给买家。因此,一个有效的网络倒卖检测方法对于网络零售商来说是非常重要和必要的。在本文中,我们提出了一种新的集成方法SADM(剥头皮异常检测方法)来检测特殊的异常行为——剥头皮。我们从isp(互联网服务提供商)收集移动流量数据,并将其处理为NFP数据(网络指纹数据),NFP数据记录了用户手机在移动互联网上的详细活动。然后,SADM通过特征提取和特征选择组成的特征工程构建强大的特征集。我们将统计方法与子空间方法RPCA-ADMM(鲁棒pca -乘法器交替方向法)相结合,得到一个更鲁棒的特征集。对于异常检测模型,采用聚类方法生成最终的剥头皮黑名单。实验结果表明,该方法能够有效检测恶意软件生成的特殊剥头皮行为。
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引用次数: 2
期刊
Proceedings of the 2nd International Conference on Telecommunications and Communication Engineering
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