Real-time transient error and induced noise cancellation in linear analog filters using learning-asisted adaptive analog checksums
Tipus de documentText en actes de congrés
EditorInstitute of Electrical and Electronics Engineers (IEEE)
Condicions d'accésAccés restringit per política de l'editorial
Analog circuits are sensitive to signal aggressions and power supply noise, crosstalk coupling and alpha particle strikes can cause significant degradation of circuit's SNR. This research proposes a novel approach to real-time transient error and induced noise cancellation in linear analog circuits using analog checksums. It is based on the use of state space representations of analog filters and is a significant advancement over prior research that addressed only hard parametric deviations. A key innovation is the use of less than minimum distance checksum codes for error detection and correction using real-time learning of the likely source of transient errors and noise within the analog circuit. By running a simple hardware-directed search algorithm, the circuit “learns” how best to compensate for the injected signal disturbances with low overhead under the assumption that the source of the injected errors/noise and the error/noise statistics are stationary over time. Successful simulations and preliminary experimental results demonstrate almost complete compensation of injected noise, therefore validating the proposal.
CitacióÁlvaro Gómez-Pau; Banerjee, S.; Chatterjee, A. Real-time transient error and induced noise cancellation in linear analog filters using learning-asisted adaptive analog checksums. A: IEEE International On-Line Testing Symposium. "Proceedings of the 2014 IEEE 20th International On-Line Testing Symposium (IOLTS): 7-9 July 2014, Hotel Cap Roig, Platja d’Aro, Catalunya, Spain". Platja d'Aro: Institute of Electrical and Electronics Engineers (IEEE), 2014, p. 25-30.
|Real_Time Transient Error and Induced.pdf||Article principal||822.6Kb||Accés restringit|