一种弹载线阵激光雷达距离像噪声的抑制算法

为了得到更加可靠的激光雷达距离像,充分考虑弹载激光雷达的特殊工况,提出一种基于扫描路径线的距离反常噪声抑制算法。首先,采用线形滤波窗口对原始距离像每一个像素进行距离反常多次判定,分别对当前像素是否为中值、与中值的差值是否大于阈值以及当前像素的绝对变化幅值进行分析;然后,在判定为距离反常值之后,在滤波窗口内进行二次中值滤波,前后相比较之后做出决断。实验结果表明:在RMES(均方根误差)的判定条件下,此算法在不同高度、不同坡形、不同角度的多组数据情况下,对距离像的距离反常噪声抑制效果,都要明显优于传统滤波窗口为3×3和5×5的中值滤波;并且算法处理速度较快,能够满足初步的应用需求。     

小蜂窝网络研究综述

小峰窝网络技术作为5G网络的关键技术之一,在未来无线通信发展中具有重要的作用。而随着人们对于通信服务需求的爆炸式增长,通信领域正面临着巨大的挑战和潜在的发展,也同时引起了专家与学者的关注。首先,针对资源分配、干扰协调相关问题的算法进行研究与总结。其次,对于小峰窝网络应用环境进行调研,提出小蜂窝网络与其他技术相结合能够提供效率更高的服务质量。最后,指出未来小峰窝网络面临的问题与发展方向。     

新一代超密集异构蜂窝无线网络研究

近年来,随着移动互联网的蓬勃发展和智能终端的快速普及,对无缝网络覆盖和高速数据传输要求日趋增强,超密集异构蜂窝无线网络通过减小小区半径,增加低功率节点数量进行超密集组网,提高无线资源利用率和频谱效率,因而引起了国内外研究学者的广泛关注。然而,超密集异构蜂窝无线网络中愈发密集的网络部署也带来了各种严峻的问题,包括超密集异构蜂窝无线网络中的系统干扰问题、无线信息的安全传输问题、以及网络运营的能量供给问题等。为此,本文首先简单介绍了超密集异构蜂窝无线网络架构,接着从干扰管理、物理层安全和能量效率等方面,深入分析了超密集异构蜂窝无线网络中的关键技术和当前挑战,最后,进一步展望了超密集异构蜂窝无线网络的未来发展。      

一种避免码间串扰的LED驱动芯片

针对单线传输LED驱动器在多级联传输时存在高误码率的问题,采用信号"护城河"技术,设计了一种避免码间串扰的LED驱动芯片。芯片具有三路PWM驱动端口,可实现256级灰度输出,为防止数据衰减,数据自动整形转发。通过引入"护城河"技术,隔离相邻数据,消除延时误差积累,从而避免码间串扰。实测结果表明,"护城河"技术在相邻码间建立了一个稳定时长大于196μs的低电平,并且在800 kbit/s的传输速率下,传输特性良好。该芯片有望用于大型户外显示屏中。     

基于共铁塔的基站天线对在线监测设备电磁影响研究

随着共享铁塔建设的全面开展,基站天线对同塔布置的输电线路在线监测设备的电磁干扰问题开始凸显。结合在线监测设备的电磁兼容标准,揭示了基站天线对在线监测设备的电磁干扰机理。通过建立电大尺寸金属散射体无源干扰求解模型,采用物理光学-矩量法混合算法求解基站天线在铁塔表面产生的感应电流,获得了在线监测设备处的散射电场值。以山东35 kV 共享铁塔为算例,以天线工作频率、天线与在线监测设备之间的间距为变量,分析了铁塔塔头型式、天线功率、天线倾角等不同工况下的散射电场变化规律。结果表明,铁塔塔头型式对干扰影响较小,而天线功率和倾角对干扰影响较大。以此为计算依据,建议天线与在线监测设备之间的防护间距为18m。     

遥控门禁系统接收灵敏度的干扰定位

依据GB/T 18655-2010,从射频指标和电磁干扰两方面分析某车辆实际使用中出现的遥控门禁系统有效识别距离下降问题。通过车内、外置天线信号对比及近场探头探测,定位EPS控制器旋变线为辐射干扰源。采用旋变线支架屏蔽并与EPS控制器外壳接地的方法消除了干扰,遥控门禁系统的有效识别距离25 m以上,超出设计要求的15 m。     

基于光谱干涉技术的玻璃厚度及折射率测量方法

基于光谱干涉技术提出了一种能够同时测量玻璃厚度及折射率的方法,该方法利用迈克尔逊光路,通过傅里叶变换算法对光谱仪接收的干涉信号进行解算,获取光谱干涉条纹的调制周期,根据待测玻璃样品放入测量臂前后,测量臂与参考臂所形成的光程差即可求出玻璃样品的几何厚度和折射率。该方法无需机械扫描延迟线并采用改进的傅里叶域下的相位提取算法,提高了测量系统抗干扰能力,探测速度快。实验结果表明:对玻璃样品的厚度测量精度优于±1μm,折射率测量精度±5×10^-4。     

混合型有源电力滤波器抑制谐波放大措施

并联型有源滤波器与并联电容器相结合的混合补偿系统的谐波放大问题,不仅会影响谐波无功治理的效果,而且会对设备安全和电力系统稳定运行造成很大威胁。因此,阐述了谐波放大的机理及现有的抑制措施,最后根据经济技术比较,给出了不同情况下具有较好应用前景的抑制方案。     

Affinity propagation‐based interference‐free clustering for wireless sensor networks

Wireless sensor networks (WSNs), eg, industrial WSNs, require reliability and real‐time communication. Clustering technique together with schedule‐based access can provide the benefits, such as energy saving, reliability, and timeliness. However, integrating above two technologies into WSNs requires sophistical time slot allocation mechanism. To simplify the time slot allocation, the paper proposes a distributed interference‐free clustering algorithm for WSNs. The algorithm is inspired by affinity propagation (AP) clustering algorithm. By adapting and improving the original AP algorithm, the proposed clustering algorithm aims to jointly optimize energy saving and coverage issues while providing interference free between clusters. The performance analysis demonstrates that it can achieve high receiving rate (reliability), low delay (real time), and low‐energy consumption.     

Interference management for spectral coexistence in a heterogeneous satellite network

With the advent of the fifth generation of mobile radio communication by 2020, there will be many challenges such as increasing service demand with low delay in providing billions of end users called the satellite mobile users. It is expected that terrestrial communication systems will be faced with a dense network having many small cells anywhere and anytime. Therefore, there are some remote regions in the world where terrestrial systems cannot provide any services to end users. Furthermore, because of lack of spectral resources, it is very important that the spectrum is shared between satellite systems and terrestrial equipment by a suitable solution to interference management. In this paper, a heterogeneous satellite network that includes low earth orbit (LEO) satellite constellation and terrestrial equipment is proposed to provide low delay services. In this type of structure, interference management based on transmission power control between LEO satellite systems and mobile users is very important for obtaining high throughput. Moreover, in order to mitigate interference, transmission power control is shown based on noncooperative Stackelberg game under many subgames through pricing‐based algorithm and convex optimization method. Finally, the simulation results show that the performance of this study's system model will be improved through the proposed algorithm.