• DocumentCode
    1934454
  • Title

    Application of compressed sensing theory to radar signal processing

  • Author

    Lei, Zhu ; Chunting, Qiu

  • Author_Institution
    Xi´´an Polytech. Univ., Xi´´an, China
  • Volume
    6
  • fYear
    2010
  • fDate
    9-11 July 2010
  • Firstpage
    315
  • Lastpage
    318
  • Abstract
    Compressed sensing theory is a newly developed theory which unites the signal sampling and compression, based on the sparsity characteristic of signal. The union can reduce sampling rate, and then reduce computational complexity of the system without the loss of the performance of the system. The paper describes the theoretical frame and some key technical, and then illustrates the application of compressed sensing theory to radar signal processing.
  • Keywords
    computational complexity; radar signal processing; signal sampling; compressed sensing theory; computational complexity; radar signal processing; sampling rate reduction; signal compression; signal sampling; Matrix decomposition; Problem-solving; compressed sensing; direction of arrival; power spectrum estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Information Technology (ICCSIT), 2010 3rd IEEE International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-5537-9
  • Type

    conf

  • DOI
    10.1109/ICCSIT.2010.5563840
  • Filename
    5563840
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1934454