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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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A Milestone in China's Space History——The White Paper on China's Space Activities
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作者 Guo Baozhu 《工程科学(英文版)》 2007年第1期1-7,共7页
The white paper document titled“China’s Space Activities”,released in November 2000 by the Information Office of the State Council,represents the first time for China to fully,systematically and publicly introduce ... The white paper document titled“China’s Space Activities”,released in November 2000 by the Information Office of the State Council,represents the first time for China to fully,systematically and publicly introduce to the world China’s space development strategy and concerned policies.Its release is a milestone event in the country’s space history,bearing great importance and profound influence to its future space efforts.The paper here describes the shaping processes of some important new ideas and concepts,including the connotative meaning of“space activities in a broad sense”and the roles and positions of different sectors in such activities.It also briefly discusses related policies concerning the country’s space development and short-term concepts and plans on its civil space activities. 展开更多
关键词 white paper on space activities space activities in a broad sense space policy civil space development plan
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Construction of compressed sensing matrixes based on the singular pseudo-symplectic space over finite fields 被引量:1
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作者 Gao You Tong Fenghua Zhang Xiaojuan 《The Journal of China Universities of Posts and Telecommunications》 EI CSCD 2016年第6期82-89,共8页
Compressed sensing(CS) provides a new approach to acquire data as a sampling technique and makes it sure that a sparse signal can be reconstructed from few measurements. The construction of compressed matrixes is a ... Compressed sensing(CS) provides a new approach to acquire data as a sampling technique and makes it sure that a sparse signal can be reconstructed from few measurements. The construction of compressed matrixes is a central problem in compressed sensing. This paper provides a construction of deterministic CS matrixes, which are also disjunct and inclusive matrixes, from singular pseudo-symplectic space over finite fields of characteristic 2. Our construction is superior to De Vore's construction under some conditions and can be used to reconstruct sparse signals through an efficient algorithm. 展开更多
关键词 compressed sensing matrix singular pseudo-symplectic space sparse signal disjunct matrix inclusive matrix
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