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Abstract:
YVhether the equipment terminal with satellite positioning is in the detection method within the set range deserves attention, which determines the success or failure of electronic fence design. The idea of classification is now intended to be used in such detection, this paper proposes an entry fence detection algorithm based on support vector machine (SVM). The algorithm selects the appropriate kernel function according to the positioning data characteristics of the satellite positioning terminal. The kernel function and error penalty parameters are obtained by grid search method. The detection accuracy is adjusted to determine the optimal threshold. The algorithm verification with the measured data shows that the accuracy of entry fence detection can reach 80-96%, which is much higher than the accuracy of 43-67% directly obtained, indicating that the algorithm is reliable and effective and has high practical value.
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PROCEEDINGS OF 2019 14TH IEEE INTERNATIONAL CONFERENCE ON ELECTRONIC MEASUREMENT & INSTRUMENTS (ICEMI)
Year: 2019
Page: 1468-1475
Language: English
Cited Count:
WoS CC Cited Count: 0
SCOPUS Cited Count:
ESI Highly Cited Papers on the List: 0 Unfold All
WanFang Cited Count:
Chinese Cited Count:
30 Days PV: 6