• DocumentCode
    1550115
  • Title

    High-range resolution for radar by oversampling and LMS pulse compression

  • Author

    Wirth, W.D.

  • Author_Institution
    Forschunginst. fur Funk & Math., Wachtberg, Germany
  • Volume
    146
  • Issue
    2
  • fYear
    1999
  • fDate
    4/1/1999 12:00:00 AM
  • Firstpage
    95
  • Lastpage
    100
  • Abstract
    High range resolution for radar systems can be achieved in combination with pulse compression of polyphase coded signals without an increase in the signal bandwidth of the antenna and receiver system. The received signal is oversampled with an increased clock rate to also use some of the information in the spectral side lobes. The compression filter function is computed by the least mean square error method to concentrate the compression result on one sampling value. Experiments are performed with echo signals measured with the experimental phased array system ELRA. Parallel measurements and evaluation with high and low bandwidth signals allow comparisons. With ELRA parameters, resolution can be improved by a factor of 4. The price for this is a loss of 6-9 dB in the signal-to-noise ratio, greater complexity for processing and a faster ADC
  • Keywords
    antenna phased arrays; filtering theory; least mean squares methods; pulse compression; radar antennas; radar receivers; radar resolution; signal sampling; ADC; ELRA; LMS pulse compression; clock rate; compression filter function; echo signals; experimental phased array system; experiments; high bandwidth signal; high-range resolution; least mean square error method; low bandwidth signal; measurements; oversampling; polyphase coded signals; processing complexity; radar antenna; radar resolution; radar systems; received signal; receiver system; signal bandwidth; signal-to-noise ratio; spectral side lobes;
  • fLanguage
    English
  • Journal_Title
    Radar, Sonar and Navigation, IEE Proceedings -
  • Publisher
    iet
  • ISSN
    1350-2395
  • Type

    jour

  • DOI
    10.1049/ip-rsn:19990127
  • Filename
    788019