• DocumentCode
    876197
  • Title

    Embedded test resource for SoC to reduce required tester channels based on advanced convolutional codes

  • Author

    Han, Yinhe ; Li, Xiaowei ; Li, Huawei ; Chandra, Anshuman

  • Author_Institution
    Adv. Test Technol. Lab., Graduate Univ. of the Chinese Acad. of Sci., Beijing, China
  • Volume
    55
  • Issue
    2
  • fYear
    2006
  • fDate
    4/1/2006 12:00:00 AM
  • Firstpage
    389
  • Lastpage
    399
  • Abstract
    Test resources can be embedded on the chip to reduce required external tester channels. In order to obtain the maximal reduction of tester channels, a single-output encoder based on the check matrix of the (n, n-1, m, 3) convolutional code is presented. When the five proposed theorems are satisfied, the encoder can avoid two and any odd erroneous bit cancellations, handle one unknown bit (X-bit), and diagnose one erroneous bit. Two types of encoders are proposed to implement the check matrix of the convolutional code. A large number of X-bits can be tolerated by choosing a proper memory size and weight of the check matrix, which can also be obtained by an optimized input assignment algorithm. In order to get the full diagnostic capability, the proposed encoder can be reconfigured into a simple linear-code-based encoder by adding some additional gates. Experimental results show that the proposed encoder has an acceptable level of X-bits tolerance and a low aliasing probability.
  • Keywords
    convolutional codes; embedded systems; encoding; integrated circuit testing; linear codes; logic testing; system-on-chip; advanced convolutional codes; automatic test equipment; check matrix; embedded test resource; erroneous bit cancellations; error cancellation; linear code; optimized input assignment algorithm; single-output encoder; system-on-chip; tester channels; unknown bits; Acceleration; Bandwidth; Buffer storage; Circuit testing; Convolutional codes; Costs; Digital circuits; Manufacturing; System testing; Test equipment; Automatic test equipment; convolutional code; diagnosis; error cancellation; masking; unknown bits (X-bits);
  • fLanguage
    English
  • Journal_Title
    Instrumentation and Measurement, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9456
  • Type

    jour

  • DOI
    10.1109/TIM.2006.870332
  • Filename
    1608580