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Optical SDMA for applying compressive sensing in WSN 被引量:1
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作者 Xuewen Liu Song Xiao Lei Quan 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2016年第4期780-789,共10页
In order to apply compressive sensing in wireless sensor network, inside the nodes cluster classified by the spatial correlation, we propose that a cluster head adopts free space optical communication with space divis... In order to apply compressive sensing in wireless sensor network, inside the nodes cluster classified by the spatial correlation, we propose that a cluster head adopts free space optical communication with space division multiple access, and a sensor node uses a modulating retro-reflector for communication. Thus while a random sampling matrix is used to guide the establishment of links between head cluster and sensor nodes, the random linear projection is accomplished. To establish multiple links at the same time, an optical space division multiple access antenna is designed. It works in fixed beams switching mode and consists of optic lens with a large field of view(FOV), fiber array on the focal plane which is used to realize virtual channels segmentation, direction of arrival sensor, optical matrix switch and controller. Based on the angles of nodes' laser beams, by dynamically changing the route, optical matrix switch actualizes the multi-beam full duplex tracking receiving and transmission. Due to the structure of fiber array, there will be several fade zones both in the focal plane and in lens' FOV. In order to lower the impact of fade zones and harmonize multibeam, a fiber array adjustment is designed. By theoretical, simulated and experimental study, the antenna's qualitative feasibility is validated. 展开更多
关键词 wireless sensor network compressive sensing space division multiple access optical matrix switch laser beam tracking
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OFDMA-PON with MQAM downlink for flexible allocation 被引量:1
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作者 HE Chao WANG Ruyan +1 位作者 TAN Zefu TAN Xiang’an 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2019年第6期1090-1095,共6页
In this paper, the 40-Gbps orthogonal frequency division multiple access(OFDMA) technology enabled by subcarrier allocation in the form of integrated architecture for the intra-cell is proposed in the downlink transmi... In this paper, the 40-Gbps orthogonal frequency division multiple access(OFDMA) technology enabled by subcarrier allocation in the form of integrated architecture for the intra-cell is proposed in the downlink transmission passive broadband optical access system. The data-carrying subcarriers in the inverse fast Fourier transform/fast Fourier transform(IFFT/FFT) size of1 024 points are successfully divided into three sub-channels,in which each sub-channel has 256 useful subcarriers, by using adaptive dynamic bandwidth allocation(DBA). Taking the inherent advantages of M-ary quadrature amplitude modulation(MQAM)modulation mechanism into account, the performance of the absolutely identical MQAM format over the different sub-channels for the downstream OFDMA-passive optical network(PON) is investigated based on the intensity modulation direct detection(IMDD) system by simulations. The results show that three parallel4 QAM or 16 QAM or 64 QAM OFDMA data, which are transmitted over three sub-channels, is more suitable for different sub-channel allocations, respectively. In addition, comparing with single port4/16/64 QAM OFDM over the same access system, the receiver sensitivity economizes – 0.6 d Bm, 0.6 d Bm, 4.6 d Bm at the bit error rate(BER) value of 10-3 respectively. 展开更多
关键词 orthogonal frequency division multiple access(OFDMA) passive optical network(PON) downlink transmission dynamic bandwidth allocation(DBA).
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光纤网络哑资源智能检测与清查方法 被引量:10
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作者 张高毅 张军 +1 位作者 苟浩淞 段佳明 《科学技术与工程》 北大核心 2023年第18期7816-7823,共8页
光分配网络(optical distribution network,ODN)网络是FTTH网络中的重要组成部分,其质量好坏直接关系到客户使用宽带网络的体验。为了对哑资源进行高效精准管理,改善网络质量,提升宽带业务开通效率,降低维护成本,设计优化了哑资源智能... 光分配网络(optical distribution network,ODN)网络是FTTH网络中的重要组成部分,其质量好坏直接关系到客户使用宽带网络的体验。为了对哑资源进行高效精准管理,改善网络质量,提升宽带业务开通效率,降低维护成本,设计优化了哑资源智能检测及清查系统。该系统基于深度学习中的YOLOX算法,设计改进提出随机梯度下降动量及Nestrov动量(stochastic gradient descent with momentum and nestrov,SGDMN)优化器,该优化器能有效抑制振荡并且在加速训练的同时对梯度进行校正,以此对参数进行更新;在不脱离真实场景的前提下选择数据增强方式,以此实现对分光器、尾纤、标签、二维码等关键信息进行目标检测,进行分类标识,维护人员可基于这些关键信息配合资管系统信息完成哑资源清查。通过其他经典目标识别算法进行对比实验,结果表明改进后的YOLOX算法精度更高,满足哑资源智能检测及清查实际工程需求。 展开更多
关键词 光分配网络(optical distribution network ODN) YOLOX算法 优化器 目标检测 清查
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