• DocumentCode
    2169813
  • Title

    Digitally Assisted Concurrent Built-In Tuning of RF Systems Using Hamming Distance Proportional Signatures

  • Author

    Devarakond, S. ; Sen, S. ; Natarajan, V. ; Banerjee, A. ; Choi, H. ; Srinivasan, G. ; Chatterjee, A.

  • Author_Institution
    Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
  • fYear
    2010
  • fDate
    1-4 Dec. 2010
  • Firstpage
    283
  • Lastpage
    288
  • Abstract
    In this paper, a novel built-in tuning technique to compensate for variability induced imperfections in RF subsystems is proposed. The test stimulus is obtained from a filtered digital pattern and the RF response is down-converted using an envelope detector. The resulting signal is mapped to a digital signature, such that the Hamming Distance between the observed and the golden signature represents the degree by which the circuit specifications (Gain, IIP3, EVM, etc) differ from the ideal. A hardware driven algorithm is used to minimize this Hamming Distance to concurrently optimize (tune) multiple RF specifications. As opposed to prior research, the method does not require the use of an on-chip digital signal processor and uses minimal on-chip hardware. Results obtained on a 2.4 GHz transmitter subsystem show significant impact of tuning on device specifications.
  • Keywords
    UHF integrated circuits; circuit tuning; digital signal processing chips; filters; radio transmitters; Hamming distance proportional signatures; RF response; RF subsystems; RF systems; digital signature; digitally assisted concurrent built in tuning; envelope detector; filtered digital pattern; frequency 2.4 GHz; hardware driven algorithm; on-chip digital signal processor; transmitter subsystem; Cost function; Envelope detectors; Gain; Hamming distance; Hardware; Radio frequency; Tuning; Digitally-assisted RF; vernier sampling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Test Symposium (ATS), 2010 19th IEEE Asian
  • Conference_Location
    Shanghai
  • ISSN
    1081-7735
  • Print_ISBN
    978-1-4244-8841-4
  • Type

    conf

  • DOI
    10.1109/ATS.2010.55
  • Filename
    5692260