2018 Vol.1 Apr No.2

• Title: Anti-jamming capability monitoring technology of optical wireless bridge based on big data analysis
• Name: Breenda Gail
• Company: Southwestern Michigan College, America
• Abstract:

  Traditional monitoring techniques cannot effectively describe the anti-jamming capability of optical wireless bridges. In order to effectively solve the above problems, a new optical wireless bridge anti-interference ability monitoring technology based on big data analysis is proposed. Through the two steps of running data repair and sensor structure design, the application environment of the new monitoring technology is realized. On this basis, through the three steps of interference signal feature determination, adaptive resistance processing and anti-interference ability classification, the smooth application of new monitoring technology means is realized. The design comparison experiment results show that compared with the traditional detection technology, the application of the new optical wireless bridge anti-interference ability monitoring technology based on big data analysis, the description accuracy of deep and shallow anti-interference indicators have been improved to some extent.

• Keyword: Big data analysis; Wireless bridge; Anti-interference monitoring; Data repair; Sensor; Signal characteristics; Adaptive resistan
• DOI: 10.12250/jpciams2018020119
• Citation form: Breenda Gail.Anti-jamming capability monitoring technology of optical wireless bridge based on big data analysis[J]. Computer Informatization and Mechanical System, 2018, vol. 1, pp. 1-6.

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