Adaptive fault tolerance for reliable LMS adaptive filtering

摘要

Adaptive fault tolerance (AFT) is introduced and applied to finitenimpulse response (FIR) adaptive filters, Fault-tolerant adaptive filtersn(FTAFs) that result from using the principles of AFT are analyzed withnrespect to convergence rate, computational complexity, and hardwarenoverhead. A practical and useful FTAF based on the discrete Fourierntransform (DFT) is developed that can tolerate numerous coefficientnfailures regardless of the input noise statistics. The aims of thisnpaper are to demonstrate the principles of the AFT approach and tonmotivate future research in this area by drawing attention tonsimilarities between AFT and other methods of fault tolerance thatnexploit adaptivity, such as neural networks