Transmission Signal Enhancement Method of Mobile Communication Network Based on Deep Adaptive Wavelet Network
At present,the transmission signal enhancement mechanism of mobile communication network is mostly target enhancement processing,which has low reliability,resulting in the re-duction of the final bit error rate.Therefore,the design and verification analysis of the trans-mission signal enhancement method of mobile communication network based on deep adaptive wavelet network are proposed.According to the current determination requirements,the initial signal rate determination and feature classification are carried out first.On this basis,the signal denoising is processed,and the multi-level way is adopted to strengthen the current enhancement reliability,and the multi-level enhancement mechanism is set.Transmission signal enhancement model of deep adaptive wavelet network is constructed,and adaptive compensation processing is used to realize signal enhancement.The final test results show that:for the selected five test ar-eas,in 100 Mb,120 Mb,180 Mb,220 Mb,the error rate is well controlled below 15％,in the deep adaptive wavelet network,the mobile communication network transmission signal en-hancement method is more efficient and perfect,in the face of complex environment,also can ensure the signal enhancement effect and enhancement efficiency,laying the foundation for the subsequent signal practice application.
deep adaptationwavelet networkmobile communication networknetwork trans-missionsignal identificationenhancement method
万方数据
维普
