Designing of Environmental Information Acquisition and Reconstruction System Based on Compressed Sensing

  • Qiuming Zhao
  • Bo Li
  • Hongjuan YangEmail author
  • Gongliang Liu
  • Ruofei Ma
Conference paper
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 251)


At present, the collection of environmental information is mostly accomplished by sensors. In order to reduce the redundancy of sensor data collection, reduce the energy consumption of nodes, improve the service life of sensors and reduce the cost of the system, a system that combines compressed sensing reconstruction with sensors is proposed in this paper to collect and reconstruct environmental information. The designed system collects the environment information with a limited number of nodes. Compressed sensing reconstructs all the data of the required area through the optimized OMP algorithm. The final information is displayed by the software based on C# designing. The final result shows that the verification system proposed in this paper can realize the accurate reconstruction of the original environmental information, and it is effective to the collection and processing of complex environmental information.


Compressed sensing Reconstruction Environmental information collection Visualization Orthogonal matching pursuit algorithm 



This work is supported in part by National Natural Science Foundation of China (No. 61401118, No. 61371100 and No. 61671184), Natural Science Foundation of Shandong Province (No. ZR2018PF001 and ZR2014FP016), the Fundamental Research Funds for the Central Universities (No. HIT.NSRIF.2016100 and 201720) and the Scientific Research Foundation of Harbin Institute of Technology at Weihai (No. HIT(WH)201409 and No. HIT(WH)201410).


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Copyright information

© ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2018

Authors and Affiliations

  • Qiuming Zhao
    • 1
  • Bo Li
    • 1
  • Hongjuan Yang
    • 1
    Email author
  • Gongliang Liu
    • 1
  • Ruofei Ma
    • 1
  1. 1.School of Information and Electrical EngineeringHarbin Institute of TechnologyWeihaiChina

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