A notable trend of the TT&C system is the broadband, which would bring high-speed sampling pressure and big data problem. In this paper, the compressive sensing for DS TT&C signals based on basic dictionary building is presented in response to big data problem. The sparsity of the DS TT&C signal is analyzed by building basic dictionary firstly. Then based on delay-doppler basic dictionary which is built by theoretical analysis, the performance of the sparse representation and compressive sensing for the DS TT&C signal is studied by the simulation experiment. The results of simulation show that the DS TT&C signal gets a strong sparsity on the delay-doppler basic dictionary, the compressive sensing for the DS TT&C signal is feasible which can effectively bring down the data rate, and has some noise reduction performance.
Compressive Sensing for DS TT&C Signals Based on Basic Dictionary Building
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Compressive Sensing for DS TT&C Signals Based on Basic Dictionary Building
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