Adaptive fault tolerance for reliable LMS adaptive filtering

Bernard A. Schnaufer, W. Kenneth Jenkins

    Research output: Contribution to journalArticlepeer-review

    22 Scopus citations


    Adaptive fault tolerance (AFT) is introduced and applied to finite impulse response (FIR) adaptive filters. Faulttolerant adaptive filters (FTAF's) that result from using the principles of AFT are analyzed with respect to convergence rate, computational complexity, and hardware overhead. A practical and useful FTAF based on the discrete Fourier transform (DFT) is developed that can tolerate numerous coefficient failures regardless of the input noise statistics. The aims of this paper are to demonstrate the principles of the AFT approach and to motivate future research in this area by drawing attention to similarities between AFT and other methods of fault tolerance that exploit adaptivity, such as neural networks.

    Original languageEnglish (US)
    Pages (from-to)1001-1014
    Number of pages14
    JournalIEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing
    Issue number12
    StatePublished - 1997

    All Science Journal Classification (ASJC) codes

    • Signal Processing
    • Electrical and Electronic Engineering


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