Wavelet Denoising Method for Deep Underground Sensor Wireless Communication
Sensor networking in deep underground environments is more complex than in normal environments,and intersymbol interference(ISI)can occur when signals are discrete in channels,resulting in a low signal-to-noise ratio(SNR)of the sensor out-put and a high noise interference state.A wavelet transform based denoising method for wireless communication of deep buried under-ground sensors is proposed.Wavelet transform algorithm is used to discretize the sensing signal under deep burial,suppress inter sym-bol interference,remove duplication and fuse communication data,and design the data frame header format of the communication pro-tocol.A connectionless two-way communication protocol is established to complete wireless communication.In the experiment,based on deep buried sensors,the proposed method was tested for its anti noise performance.The experimental results show that when using the proposed method for wireless communication,the output signal to noise ratio is high and has good anti noise performance.
deeply buried undergroundwavelet transformanti noisesensorfusion processingwireless communication