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Autoregressive Moving Average Inverse Dynamics for Rhodium Self-Powered Neutron Detector

Charles W. Mayo, Lian Yan

Nuclear Science and Engineering / Volume 124 / Number 2 / October 1996 / Pages 361-363

Technical Note / dx.doi.org/10.13182/NSE96-A28586

he autoregressive moving average (ARMA) solution is derived for the rhodium self-powered neutron detector inverse dynamics. Numerical performance is compared to the autoregressive (AR) inverse dynamics form. A potential difference in the dynamic range of the two methods would be masked by analog-to-digital converter quantizing noise. TheAR and ARMA inverse dynamics methods have equal performance for additive noise and require the same number of multiplications and additions per time step.

 
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