• DocumentCode
    3295608
  • Title

    An efficient algorithm for downconverting multiple bandpass signals using bandpass sampling

  • Author

    Wong, Ngai ; Ng, Tung-Sang

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Hong Kong Univ., China
  • Volume
    3
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    910
  • Abstract
    Bandpass sampling is a useful alternative for direct digital downconversion in software radio. It significantly relaxes the analog-to-digital converter (ADC) sampling rate requirement and facilitates the design goal of moving the ADC as close as possible to the antenna. This paper presents a modified interpretation to the graph of allowable sampling frequencies in uniform bandpass sampling. It is shown that the position and guard bands of a downconverted bandpass signal band are highly related to the order of the valid sampling range, called the wedge order. An efficient algorithm is then proposed, which significantly reduces the computational load in determining the valid sampling frequencies to downconvert multiple distinct bandpass signals. Conditions for the placement of bandpass signals to utilize a given sampled bandwidth are also discussed
  • Keywords
    analogue-digital conversion; band-pass filters; filtering theory; radio equipment; signal sampling; ADC sampling rate; allowable sampling frequencies; analog-to-digital converter; antenna; bandpass filters; bandpass signals placement; computational load reduction; direct digital downconversion; efficient algorithm; graphical approach; guard bands; multiple bandpass signals downconversion; sampled bandwidth; sampling range; software radio; uniform bandpass sampling; wedge order; Band pass filters; Bandwidth; Field programmable gate arrays; Frequency; Hardware; Sampling methods; Signal processing; Signal processing algorithms; Signal sampling; Software radio;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications, 2001. ICC 2001. IEEE International Conference on
  • Conference_Location
    Helsinki
  • Print_ISBN
    0-7803-7097-1
  • Type

    conf

  • DOI
    10.1109/ICC.2001.937370
  • Filename
    937370