Source driven unknown nuclear component multi-parameter acquisition method based on high order statistics analysis

Abstract

The invention discloses a source driven unknown nuclear component multi-parameter acquisition method based on high order statistics analysis. The method mainly comprises: acquiring various parameters of an unknown nuclear component by a utilizing high order statistics model and a signal processing method. The high order statistics model and the signal processing method mainly comprise the following three aspects of: (1) intrinsically eliminating the gaussian noise which is difficult to eliminate by a conventional method; (2) in comparison with the conventional method, theoretically improving the sensitivity to the concentration of fissionable elements of the unknown nuclear component and greatly simplifying the identification process; (3) performing higher order spectral analysis on the high order statistics obtained by the method, extracting the characteristic parameters different from the conventional means, and identifying the geometrical characteristics of the unknown nuclear component. The method can be used for realizing a better unknown nuclear component multi-parameter acquisition effect by virtue of stronger denoising capability, higher concentration variation sensitivity and unprecedented identification capability to the geometrical characteristics.

Description

technical field [0001] The invention belongs to the technical field of digital signal processing and verification, and relates to a source-driven multi-parameter acquisition method for unknown nuclear components based on high-order statistical analysis. Background technique [0002] The Nuclear Material / Weapon Identifying System (NMIS / NWIS) in the field of verification technology, that is, the nuclear weapon / material verification system, aims to measure the characteristic parameters of nuclear materials / nuclear components, so as to infer their use areas. Its important function is to detect the concentration of nuclear materials / nuclear components (the concentration of nuclear materials is an important sign to distinguish between weapon grade and civilian grade, and it can be inferred from it that it has the national nuclear industry level). From the perspective of the way to obtain the radiation signal of nuclear materials, the verification technology route is usually divide...

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Problems solved by technology

[0006] What the present invention needs to solve are how to remove the Gaussian noise in the NWIS / NMIS source-detector cross-covariance function, how to improve the sensitivity to the concentration change of the unknown nuclear material, and how to obtain the geometric characteristics of the unknown nuclear material, so as to overcome the existing problems. There are disadvantages that the method is greatly affected by noise, the recognition accuracy is not high, and the characteristic parameters are single

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