Spectrum analysis of nuclear information system based on ²⁵²Cf fission neutron source

The principle of random nuclear signal power spectrum density analysis is introduced. Using Matlab, block-averaging method is adopted to process the random nuclear signals from the three measurement channels in the nuclear information system of the 252Cf fission neutron source. Then correlation calculation is done for every block, and the derived correlation functions are summed up and then transformed into power spectrum with Fourier transform. Finally, power spectrum density estimates are obtained after averaging the spectrum. With these results, improtant parameters are got, such as correlation functions multiplicity, coherence and power spectrum density ratio.