• DocumentCode
    3420334
  • Title

    Transmit codes and receive filters for pulse compression radar systems

  • Author

    Stoica, Peter ; Li, Jian ; Xue, Ming

  • Author_Institution
    Dept. of Inf. Technol., Uppsala Univ., Uppsala
  • fYear
    2008
  • fDate
    March 31 2008-April 4 2008
  • Firstpage
    3649
  • Lastpage
    3652
  • Abstract
    Pulse compression radar systems make use of transmit code sequences and receive filters that are specially designed to achieve good range resolution and target detection capability at practically acceptable transmit peak power levels. The present paper is a contribution to the literature on the problem of designing transmit codes and receive filters for radar. In a nutshell: the main goal of this paper, which considers the cases of both negligible and non-negligible Doppler shifts, is to show how to design the receive filter (including its length) and the transmit code sequence via the optimization of a number of relevant metrics considered separately or in combination. The paper also contains several numerical studies whose aim is to illustrate the performance of the proposed designs.
  • Keywords
    Doppler radar; filtering theory; pulse compression; radar detection; radar receivers; sequential codes; negligible Doppler shifts; nonnegligible Doppler shifts; pulse compression radar systems; range resolution; receive filter design; target detection; transmit code sequences; Design optimization; Doppler radar; Doppler shift; Equations; Information filtering; Information filters; Information technology; Object detection; Pulse compression methods; Radar cross section; Pulse compression methods;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing, 2008. ICASSP 2008. IEEE International Conference on
  • Conference_Location
    Las Vegas, NV
  • ISSN
    1520-6149
  • Print_ISBN
    978-1-4244-1483-3
  • Electronic_ISBN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2008.4518443
  • Filename
    4518443