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RCS-based uncertainty model verification method

A model verification and certainty technology, applied to radio wave measurement systems, instruments, etc., can solve the problems of lack of theoretical basis and objectivity

Active Publication Date: 2014-03-26
中国航天科工集团第二研究院二〇七所
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Problems solved by technology

This method has strong practicability, but lacks sufficient theoretical basis and objectivity

Method used

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  • RCS-based uncertainty model verification method
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  • RCS-based uncertainty model verification method

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Embodiment Construction

[0040] The technical solution of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0041] For the probability space of a specific event, construct the analytical form or numerical form of the parameter probability density function and the prior probability distribution. Considering the prior information comprehensively, Bayesian statistics adopt the joint probability distribution of sample and parameter space. The posterior probability distribution is given analytically or numerically using the Bayesian formulation. Through the posterior probability distribution, the uncertainty and its credible interval are given.

[0042] Below is a kind of model checking method based on RCS uncertainty of the present invention, is applied in the situation that has obtained the frequency sweep data of target radar cross section RCS, is characterized in that, comprises the following steps:

[0043] ① Define the event:

[0044] ...

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Abstract

The invention belongs to the technical field of signal characteristic control, and particularly relates to a RCS-based uncertainty model verification method. The method comprises the following steps: 1. an event is defined; 2. an event difference is acquired, and concrete types of an event A and an event B are selected; and sweeping frequency radar cross section data of the event A and the event B under a specific azimuth angle and a pitch angle are extracted, and the difference between the two events is acquired via point-to-point comparison; 3. the expected accuracy D is selected, and a binominal distribution is acquired; 4. the Bayes distribution is calculated so as to acquire uncertainty; 5. confidence is assessed: the interval confidence is accessed in a way that the confidence of Theta dropping into the interval of [pm-d, pm+d] with the difference delta meeting a formula (1.2) is accessed; and 6. the uncertainty calculation formula U(pm, d)=1-Q(pm, d) of the event A and the event B is obtained. The technical scheme can be widely applied to verification of theoretical calculation of various standard models. Bayes statistics has capability of small sample statistics so that a Bayes binomial expression of uncertainty has an advantage in small sample estimation.

Description

technical field [0001] The invention belongs to the technical field of signal feature control, and in particular relates to a model verification method based on RCS uncertainty. Background technique [0002] The electromagnetic scattering characteristics of actual complex targets are generally more complex, and the amplitude and phase of the scattering field are extremely sensitive to changes in the attitude of the target, and the observed scattering field has very severe and complex fluctuation characteristics. In this case, a feasible solution to systematically test and evaluate the theoretical model is the statistical smoothing comparison method, that is, the theoretical and test data are statistically smoothed in a sliding angle window first, and then comparative analysis is performed. [0003] The RCS (radar cross section) obtained from experimental tests and theoretical calculations depends on many uncertain factors such as the accuracy of the physical model, the ratio...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S7/40
CPCG01S7/40G01S7/41
Inventor 李粮生侯兆国闫华
Owner 中国航天科工集团第二研究院二〇七所
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