• DocumentCode
    2978702
  • Title

    DC offset and low frequency noise compensation for direct-conversion receiver in pulse compression radar

  • Author

    Pan, Jingnan ; Wang, Zhiyu ; Tang, Shuangtian ; Wang, Jian ; Li, Changzhi ; Huangfu, Jiangtao ; Ran, Lixin

  • Author_Institution
    Dept. of Inf. & Electron. Eng., Zhejiang Univ., Hangzhou, China
  • fYear
    2011
  • fDate
    7-9 March 2011
  • Firstpage
    255
  • Lastpage
    258
  • Abstract
    In this paper, we replace low-pass filter (LPF) in traditional direct-conversion receiver (DCR) in pulse compression radar (PCR) by pre-defined filter (PDF) to directly filter direct-current offset and low frequency noise. We also accordingly propose an algorithm for compensating the distance range resolution degradation caused by PDF´s effect on low frequency components of received linear frequency modulation (LFM) signals. Based on the theoretical understanding on how the low frequency band influences the pulse compression, a set of newly deduced equations are used to calculate the compression, and the range resolution degradation can be recovered based on the priori knowledge of the employed LFM signal and filters. This method can be used in all pulse compression radars where pre-defined continuous radar signals are employed.
  • Keywords
    low-pass filters; pulse compression; radar signal processing; DC offset; DCR; LFM signal; LPF; PCR; PDF; direct-conversion receiver; direct-current offset; distance range resolution degradation; linear frequency modulation signal; low frequency band; low frequency noise compensation; low-pass filter; predefined filter; pulse compression radar; Band pass filters; Filtering algorithms; Low pass filters; Radar cross section; Receivers; Signal resolution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Antenna Technology (iWAT), 2011 International Workshop on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-1-4244-9133-9
  • Type

    conf

  • DOI
    10.1109/IWAT.2011.5752322
  • Filename
    5752322