Open Access
ARTICLE
Research on the Advanced Prediction Model of the Tunnel Geological Radar Based on Cluster Computing
Meng Wei*, Ningxin Zhang, Yuan Tong, Yu Song
Chengdu University of Technology, College of the Environment and Civil Engineering, Chengdu, Sichuan,610059
Mailing address: No. 1, East Third Road, Erxianqiao, Chenghua District, Chengdu city, Sichuan Province
* Corresponding Author: Meng Wei,
Intelligent Automation & Soft Computing 2020, 26(3), 597-607. https://doi.org/10.32604/iasc.2020.013938
Abstract
The traditional radar signal detection mode of the analog digital converter
(ADC) has a low prediction efficiency. Therefore, the advanced prediction model
of the tunnel geological radar based on the cluster computing was designed.
The completeness factor of the detection radar signal was calculated by the
computer cluster effect, and then the information extraction and information
integration of the radar pulse for the radar detection signal was determined.
Moreover, the multi-order nonlinear regression forecasting model restructured
the received signal. Thus, the prediction of the radar detection signal was
achieved. In order to ensure the effectiveness of the design, the simulation
experiment was carried out. Experimental results show that the ahead
prediction model of the geological radar is 25% higher than that of the
traditional model, which proves the effectiveness of the designed prediction
model.
Keywords
Cite This Article
M. Wei, N. Zhang, Y. Tong and Y. Song, "Research on the advanced prediction model of the tunnel geological radar based on cluster computing,"
Intelligent Automation & Soft Computing, vol. 26, no.3, pp. 597–607, 2020. https://doi.org/10.32604/iasc.2020.013938
Citations