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Target detection method and system based on spatial-temporal information fusion

A target detection, space-time technology, applied in the field of signal processing, can solve problems such as large amount of calculation and low reliability, and achieve the effect of reducing output evidence, improving efficiency, and reducing the risk of misjudgment or omission.

Inactive Publication Date: 2018-12-21
PLA STRATEGIC SUPPORT FORCE INFORMATION ENG UNIV PLA SSF IEU
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AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a target detection method and system of spatio-temporal information fusion to solve the problems of large amount of calculation and low reliability caused by no screening of evidence in the current process of spatio-temporal information fusion target detection

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  • Target detection method and system based on spatial-temporal information fusion
  • Target detection method and system based on spatial-temporal information fusion
  • Target detection method and system based on spatial-temporal information fusion

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Embodiment Construction

[0034] Specific embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0035] On the basis of the existing recursive centralized spatio-temporal information fusion model, the target detection method of spatio-temporal information fusion of the present invention adds a "logic switch", such as figure 2 As shown, the "logic switch" is used to screen the evidence according to the correlation coefficient of each evidence, block the fusion process of the evidence that is unfavorable to the fusion result, eliminate the evidence with poor classification effect or poor correlation of evidence, and only keep Strong evidence and k-1 time fusion information enter the fusion process. The specific implementation of the target detection method of the present invention will be described in detail below by taking the identification of individual radar radiation sources as an example.

[0036] 1. Extract features.

[0037] Obta...

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Abstract

The invention relates to a target detection method and system based on spatial-temporal information fusion, belonging to the technical field of signal processing. According to the scheme of the invention, before fusing output evidences, each output evidence is first screened, the evidences with poor classification effect or poor evidence correlation are eliminated according to the correlation among the output evidences, so that the invalid or unsatisfactory classification results can be prevented from entering a fusion process, the support level of the output evidences for a correct target canbe enhanced, and the support level for other targets can be relatively reduced. According to the scheme of the invention, on the one hand, the amount of calculation can be reduced, and the efficiencycan be improved; and on the other hand, the convergence of fusion results towards assumption sets can be accelerated, the influence on the output evidences of a target to be recognized caused by theunsatisfactory individual basic probability assignment functions can be reduced, the risk of misjudgment or missed judgment can be reduced, and the recognition accuracy can be improved.

Description

technical field [0001] The invention relates to a target detection method and system for spatio-temporal information fusion, belonging to the technical field of signal processing. Background technique [0002] Dempster-Shafer (DS) evidence theory has a strong theoretical foundation, it can not only deal with the uncertainty caused by randomness, but also deal with the uncertainty caused by ambiguity, and can realize the attribute fusion of the decision-making layer, with a low amount of calculation , can be well applied to the spatio-temporal information fusion process. The recursive centralized spatio-temporal model is a typical information fusion model, which directly fuses the output evidence of six classifiers including envelope frontier, instantaneous frequency, unintentional phase modulation, unintentional frequency modulation, bispectral slice and autoregressive model (the fusion block diagram is shown in figure 1 shown). In this system, the target recognition infor...

Claims

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Application Information

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IPC IPC(8): G01S7/02G06K9/62
CPCG01S7/02G06F18/257G06F18/254
Inventor 邢小鹏陈世文黄洁
Owner PLA STRATEGIC SUPPORT FORCE INFORMATION ENG UNIV PLA SSF IEU
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