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.


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    Title :

    Compressive Sensing for DS TT&C Signals Based on Basic Dictionary Building


    Additional title:

    Lect. Notes Electrical Eng.


    Contributors:
    Shen, Rongjun (editor) / Qian, Weiping (editor) / Cheng, Yanhe (author) / Yang, Wenge (author) / Zhao, Jiang (author)


    Publication date :

    2014-10-07


    Size :

    11 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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