• DocumentCode
    2998921
  • Title

    An efficient hybrid adaptive pulse compression approach to radar detection

  • Author

    Baghel, Vikas ; Panda, Amrit ; Panda, Ganapati

  • Author_Institution
    Dept. of Electron., JSS Acad. of Tech. Educ., Noida, India
  • fYear
    2013
  • fDate
    12-14 Dec. 2013
  • Firstpage
    335
  • Lastpage
    339
  • Abstract
    The adaptive pulse compression (APC) technique has been proposed in the literature of pulse compression radar for superior performance for polyphase coded signals in comparison to conventional matched filter (MF) and mismatched filter techniques. However, its performance degrades in case of binary phase coded signals. The recently reported hybrid MF and radial function (MF-RF) model performs well only for the single target case. Thus there is a need to develop a model which would perform efficiently both for single and multi-targets conditions for binary phase coded signals. To achieve this objective a hybrid model (APC-RF) combining the APC and radial function is developed. The performance of the new scheme has been evaluated under different noise and Doppler shift conditions. The results of the simulation study demonstrate superior performance of the proposed APC-RF model over several pulse compression techniques such as MF, APC and MF-RF.
  • Keywords
    adaptive codes; binary codes; matched filters; phase coding; pulse compression; radar detection; radar signal processing; APC-RF technique; Doppler shift conditions; MF-RF model; binary phase coded signals; hybrid MF and radial function model; hybrid adaptive pulse compression approach; matched filter; mismatched filter techniques; multitarget conditions; polyphase coded signals; pulse compression radar; radar detection; Brain modeling; Computational complexity; Computational modeling; Delays; Doppler shift; Radio frequency; Signal to noise ratio; adaptive pulse compression; matched filter; minimum mean square error; pulse compression;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Communication (ICSC), 2013 International Conference on
  • Conference_Location
    Noida
  • Print_ISBN
    978-1-4799-1605-4
  • Type

    conf

  • DOI
    10.1109/ICSPCom.2013.6719808
  • Filename
    6719808