期刊文献+
共找到4篇文章
< 1 >
每页显示 20 50 100
Optical SDMA for applying compressive sensing in WSN 被引量:1
1
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
下载PDF
Resource Allocation for Uplink CSI Sensing Report in Multi-User WLAN Sensing
2
作者 Yifei Li Jilei Yan +2 位作者 Yan Long Xuming Fang Rong He 《Journal of Beijing Institute of Technology》 EI CAS 2022年第5期524-534,共11页
Sensing in wireless local area network(WLAN) gains great interests recently. In this paper we focus on the multi-user WLAN sensing problem under the existing 802.11 standards. Multiple stations perform sensing with th... Sensing in wireless local area network(WLAN) gains great interests recently. In this paper we focus on the multi-user WLAN sensing problem under the existing 802.11 standards. Multiple stations perform sensing with the access point and transmit channel state information(CSI)report simultaneously on the basis of uplink-orthogonal frequency division multiple access(OFDMA). Considering the transmission resource consumed in CSI report and the padding wastage in OFDMA based CSI report, we optimize the CSI simplification and uplink resource unit(RU)allocation jointly, aiming to balance the sensing accuracy and padding wastage performances in WLAN sensing. We propose the minimize padding maximize efficiency(MPME) algorithm to solve the problem and evaluate the performance of the proposed algorithm through extensive simulations. 展开更多
关键词 wireless local area network(WLAN)sensing channel state information(CSI)simplification padding wastage resource allocation
下载PDF
A Reducing Iteration Orthogonal Matching Pursuit Algorithm for Compressive Sensing 被引量:18
3
作者 Rui Wang Jinglei Zhang +1 位作者 Suli Ren Qingjuan Li 《Tsinghua Science and Technology》 SCIE EI CAS CSCD 2016年第1期71-79,共9页
In recent years, Compressed Sensing(CS) has been a hot research topic. It has a wide range of applications, such as image processing and speech signal processing owing to its characteristic of removing redundant inf... In recent years, Compressed Sensing(CS) has been a hot research topic. It has a wide range of applications, such as image processing and speech signal processing owing to its characteristic of removing redundant information by reducing the sampling rate. The disadvantage of CS is that the number of iterations in a greedy algorithm such as Orthogonal Matching Pursuit(OMP) is fixed, thus limiting reconstruction precision.Therefore, in this study, we present a novel Reducing Iteration Orthogonal Matching Pursuit(RIOMP) algorithm that calculates the correlation of the residual value and measurement matrix to reduce the number of iterations.The conditions for successful signal reconstruction are derived on the basis of detailed mathematical analyses.When compared with the OMP algorithm, the RIOMP algorithm has a smaller reconstruction error. Moreover, the proposed algorithm can accurately reconstruct signals in a shorter running time. 展开更多
关键词 compressed sensing signal processing wireless sensor networks
原文传递
Sensorless Sensing with WiFi 被引量:11
4
作者 Zimu Zhou Chenshu Wu +1 位作者 Zheng Yang Yunhao Liu 《Tsinghua Science and Technology》 SCIE EI CAS CSCD 2015年第1期1-6,共6页
Can WiFi signals be used for sensing purpose? The growing PHY layer capabilities of WiFi has made it possible to reuse WiFi signals for both communication and sensing. Sensing via WiFi would enable remote sensing wit... Can WiFi signals be used for sensing purpose? The growing PHY layer capabilities of WiFi has made it possible to reuse WiFi signals for both communication and sensing. Sensing via WiFi would enable remote sensing without wearable sensors, simultaneous perception and data transmission without extra communication infrastructure, and contactless sensing in privacy-preserving mode. Due to the popularity of WiFi devices and the ubiquitous deployment of WiFi networks, WiFi-based sensing networks, if fully connected, would potentially rank as one of the world's largest wireless sensor networks. Yet the concept of wireless and sensorless sensing is not the simple combination of WiFi and radar. It seeks breakthroughs from dedicated radar systems, and aims to balance between low cost and high accuracy, to meet the rising demand for pervasive environment perception in everyday life. Despite increasing research interest, wireless sensing is still in its infancy. Through introductions on basic principles and working prototypes, we review the feasibilities and limitations of wireless, sensorless, and contactless sensing via WiFi. We envision this article as a brief primer on wireless sensing for interested readers to explore this open and largely unexplored field and create next-generation wireless and mobile computing applications. 展开更多
关键词 Channel State Information(CSI) sensorless sensing WiFi indoor localization device-free human detection activity recognition wireless networks ubiquitous computing
原文传递
上一页 1 下一页 到第
使用帮助 返回顶部