Abstract: A noise reduction algorithm based on the adaptive Wiener filter for portable gamma spectrum detectors was developed. Compared with traditional gamma spectrum noise reduction algorithm represented by the five-point third-order filtering and the centerofgravity method,the estimated variance value is used as a measure of local details to implement adaptive adjustment of the noise reduction algorithm. Verified by simulated signals and measured data, the noise reduction algorithm based on the adaptive Wiener filter has faster running speed and better noise reduction effect than the five-point third-order filtering and the center-of-gravity method while retaining the gamma energy spectrum characteristic information. With the advantage of no distortion, it has certain application potential in the energy spectrum noise reduction processing of portable gamma energy spectrum detectors.

Key words: adaptive Wiener filtering, noise reduction, spectrum smoothing, nuclide identification, γ spectrum analysis