Automatic alarm method for interference signal of wireless communication network based on big data
The current automatic alarm rule of communication network interference signal is generally set in a targeted form,and the constraint effect of automatic alarm is difficult to con-trol,which leads to the increase of recognizable alarm error.Therefore,the design and verifica-tion study of the automatic alarm method of interference signal of wireless communication net-work based on big data is proposed.According to the current requirements and standards,basic interference signal alarm feature extraction,adopt the method of multiple order,strengthen the control effect of automatic alarm constraint rules,establish multiple order qualitative alarm limit rules,on the basis,build big data network interference signal automatic alarm model,using PRI threat signal identification to complete automatic alarm processing.Test results show that:com-pared with the traditional deep learning YOLOv2 algorithm network interference signal auto-matic alarm test group,the traditional correlation coefficient,the big data network interference signal automatic alarm test group finally recognizable alarm error is better controlled under 0.22,that under the aid of big data technology,the current design of the communication net-work interference signal automatic alarm method practical application effect is better,more per-tinence,the error control,has the practical application value.
big data technologywireless communicationnetwork interference recognitionsig-nal acquisitionautomatic alarmalarm method
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