证据独立性及其对目标识别的影响研究

doi:10.12305/j.issn.1001-506X.2022.01.24

Abstract

Abstract:

Evidence theory has unique advantages in the expression and processing of uncertain information, and evidence independence is the premise of the application of many combination methods, but there is no completely effective judgment method at present. To solve this problem, firstly, the connotation of evidence combination and the interpretation of evidence to the recognition framework are studied. Then, starting from the definition of Smets evidence independence, this paper analyzes the independence problem in Dempster combination rules, and puts forward a judgment method of evidence independence for the case of small samples or no samples. Finally, aiming at the problem of multi-sensor single target recognition, the influence of evidence independence on the combination results is studied.

Key words: information fusion, target recognition, evidence theory, evidence independence, relevant evidence

CLC Number:

TN95
C934

Xin GUAN, Haotian YU, Xiao YI. Research on evidence independence and its influence on target recognition[J]. Systems Engineering and Electronics, 2022, 44(1): 192-198.

Figures/Tables 6

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Table 1

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References 29

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传感器	属性
传感器	C₁	C₂	C₃
A	x_A	x_A	-
B	-	x_B	x_B

传感器	属性
传感器	C₁	C₃
A	x_A	-
B	-	x_B

相关性	识别概率
独立	x_Ax_B
混合相关	(x_Ax_B, min{x_A, x_B})或$\left(x_{A} x_{B}, \frac{\left(x_{A}+x_{B}\right)}{2}\right) $
完全相关	$x_{2}=\frac{\left(x_{A}+x_{B}\right)}{2} $或[min{x_A, x_B}, max{x_A, x_B}]

传感器	属性
传感器	C₁	C₂	C₃
A	m_A=0.6θ+0.2θ+0.2U	m_A=0.6θ+0.2θ+0.2U	-
B	-	m_B=0.65θ+0.1θ+0.25U	m_B=0.65θ+0.1θ+0.25U

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