Abstract
In order to improve the accuracy and efficiency of signal selection in time-varying channel of remote network communication, a channel time-varying signal selection technology in remote network communication is proposed. Firstly, the basic characteristics of time-varying channel in remote communication network are analyzed from two aspects of time and frequency, and the sparse representation of signal is transformed by compressed sensing theory. According to the analysis results, a dual selective fading channel model based on BEM model is established, The CS algorithm is used to select the signal, and the best signal result is calculated by iteration. The simulation results show that the MSE and BER of the proposed method are always lower than those of the comparison method in the process of signal selection, and the time consumption is kept within 0.1ms, which shows that the multi extraction technology has a certain research value.
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