Radar target RCS statistical modeling method based on mixed normal distribution

A mixed normal distribution and statistical modeling technology, applied in computing, special data processing applications, instruments, etc., can solve problems such as radar detection bottlenecks, RCS distribution characteristics cannot achieve optimal fitting, etc., and achieve universal versatility

Inactive Publication Date: 2015-06-03
AIR FORCE UNIV PLA
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0012] At present, the traditional RCS fluctuation statistical model cannot achieve optimal fitting for the RCS distribution characteristics under different conditions. Bottleneck for radar detection

Method used

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  • Radar target RCS statistical modeling method based on mixed normal distribution
  • Radar target RCS statistical modeling method based on mixed normal distribution
  • Radar target RCS statistical modeling method based on mixed normal distribution

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Embodiment Construction

[0021] Hereinafter, the invention will now be described more fully with reference to the accompanying drawings, in which various embodiments are shown. This invention may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art.

[0022] Hereinafter, exemplary embodiments of the present invention will be described in more detail with reference to the accompanying drawings.

[0023] The mixed normal distribution is formed by the weighted superposition of several normal distribution models, and has been widely used in speech recognition, image processing, fault identification and other fields. An important property of it is that it can approximate arbitrary distributions with arbitrary precision when there are enough components in the model.

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Abstract

The invention relates to a radar target RCS statistical modeling method based on mixed normal distribution. The method has the advantages that the second-order mixed normal distribution is applied to the RCS statistical modeling; compared with classical RCS fluctuation statistical models (chi square distribution and logarithmic normal distribution), the method can achieve optimal fitting precision for RCS of different target types, different motion feature parameters and different electromagnetic wave parameters, so that the modeling method is universal for describing the distribution features of RCS.

Description

technical field [0001] The invention relates to a radar target RCS statistical modeling method based on mixed normal distribution. Background technique [0002] When studying the dynamic scattering mechanism of radar targets, the target can be regarded as composed of several scattering points, so the radar echo can be considered as the synthesis of echo vectors of multiple scattering points. When the radar line-of-sight angle changes, each scattering point The relative phase of the echo also varies randomly, resulting in fluctuations in the overall echo amplitude. In addition, due to the comprehensive influence of the moving parts of the non-rigid target and the attitude disturbance caused by the airflow during the target movement, the dynamic RCS of the target changes drastically with the line-of-sight angle, which is a fluctuating quantity, so it is necessary to study the statistical characteristics of the RCS. [0003] In order to perfectly describe the fluctuation chara...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50
Inventor 张晨新庄亚强张小宽赵辉王大朋林存坤
Owner AIR FORCE UNIV PLA
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