• DocumentCode
    526432
  • Title

    The efficient sample rate conversion architecture in digital IF receiver

  • Author

    Xiao-li, Cai ; Yuan-cheng, Yao

  • Author_Institution
    Sch. of Inf. Eng., Southwest Univ. of Sci. & Technol., Mianyang, China
  • Volume
    3
  • fYear
    2010
  • fDate
    9-11 July 2010
  • Firstpage
    386
  • Lastpage
    390
  • Abstract
    The wideband signal is sampled at a high rate in digital IF(intermediate frequencies) receiver using a fixed master clock. After extracting individual narrowband channels from wideband signal, the sample rate is much higher than single channel bandwidth. It is necessary to resample the signal with a lower rate to reduce data redundancy. And the receiver should has the capability of operating in all sorts of communication standard. So sensitive SRC(sample rate conversion) is necessary in the receiver. The paper proposed an efficient SRC architecture and an optimized algorithm for assigning changing rate factor. The architecture is programmable, hardware sharing, with lower power consumption, which take advantage of renewed comb filters to improve alias rejection and reduce power consumption of the decimation at high rate. The optimized algorithm is flexible and simple. It can realize SRC efficiently by optimum composition of algorithm and architecture.
  • Keywords
    comb filters; filtering theory; optimisation; power consumption; SRC architecture; digital IF receiver; fixed master clock; intermediate frequencies; optimized algorithm; power consumption; power consumption reduction; renewed comb filters; sample rate conversion architecture; single channel bandwidth; piecewise processing; sample rate conversion; sharpened filter; software radio;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Information Technology (ICCSIT), 2010 3rd IEEE International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-5537-9
  • Type

    conf

  • DOI
    10.1109/ICCSIT.2010.5564017
  • Filename
    5564017