• DocumentCode
    7546
  • Title

    Fast adaptive pulse compression based on matched filter outputs

  • Author

    Zhengzheng Li ; Yan Zhang ; Shang Wang ; Lihua Li ; Mclinden, Matthew

  • Author_Institution
    Adv. Radar Res. Center Norman, Norman, OK, USA
  • Volume
    51
  • Issue
    1
  • fYear
    2015
  • fDate
    Jan-15
  • Firstpage
    548
  • Lastpage
    564
  • Abstract
    An adaptive pulse compression (APC) algorithm is developed, based on the concept of minimum mean square error (MMSE), that utilizes matched filter (MF) output as its input and is termed Matched-Filter-Reiterative-MMSE (MF-RMMSE). MF-RMMSE allows the use of a smaller processing window than traditional reiterative-MMSE (RMMSE) but achieves identical performance at side-lobe suppression, and thus the computational load is reduced. MF-RMMSE also facilitates the implementation of APC to current radar sensors, since the existing MF implementations can be untouched. The derivation of MF-RMMSE is provided in detail, and its performance is validated through both simulations and actual airborne radar measurements for "mixed-target" observations, which includes both hard targets and distributed weather targets.
  • Keywords
    airborne radar; data compression; iterative methods; least mean squares methods; matched filters; radar signal processing; MF-RMMSE; airborne radar measurements; computational load reduction; distributed weather targets; fast adaptive pulse compression aglorithm; hard targets; identical performance; matched filter outputs; matched-filter-reiterative-MMSE; minimum mean square error; mixed-target observations; processing window; radar sensors; side-lobe suppression; Correlation; Doppler effect; Impedance matching; Radar; Signal to noise ratio; Vectors;
  • fLanguage
    English
  • Journal_Title
    Aerospace and Electronic Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9251
  • Type

    jour

  • DOI
    10.1109/TAES.2014.130544
  • Filename
    7073512