雷达辐射源信号识别的效能综合评估方法

doi:10.19665/j.issn1001-2400.2019.06.001

Abstract

Abstract:

Aiming at the problems of the existing evaluation methods, such as unscientific index weight setting and unreasonable evaluation method, a method for comprehensive evaluation of the radar radiation source signal identification efficiency is proposed. The performance evaluation index system based on the effect of radar radiation source signal recognition is first established. And then, under the evaluation criteria, an intuitionistic fuzzy network analysis method is used to analyze the indexes with the characteristics of relevance to solve the index weight. Finally, on the basis of the interval-valued hesitant fuzzy idea, the ranking priority relation is established by combining the elimination and selection conversion method and approximate ideal ranking method to realize the comprehensive evaluation of the effectiveness of radar radiation source signal identification. Simulation results show that the method proposed can obtain a reasonable evaluation order of the effectiveness of the radar source signal identification method. Compared with the existing methods, the proposed method can reasonably and effectively solve the problem of index correlation, and avoid the error evaluation caused by the defects of the evaluation method.

Key words: radar signal recognition, effectiveness evaluation, intuitionistic fuzzy network analysis, elimination and selection conversion, method, approximate ideal ranking method

CLC Number:

TN974

LIU Mingqian,MENG Yan,ZHANG Weidong. Method for comprehensive evaluation of effectiveness of radar emitter signals recognition[J].Journal of Xidian University, 2019, 46(6): 1-8.

Figures/Tables 4

References 16

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识别方法	C₁₁/%	C₁₂/%	C₂₁	C₂₂	C₃	C₄₁/KB	C₄₂/s
PNN	[86.08,87.12]	86.61	0.1807	[0.838 3,2.577 0]	0.969 5	65	[0.18,0.20]
SVM	[88.63,89.03]	88.81	0.413 7	[0.255 8,0.557 7]	0.808 2	81	[0.12,0.14]
GA-SVM	[91.80,91.94]	91.88	0.460 0	[0.047 1,0.143 9]	0.776 3	85	[0.35,0.44]
PSO-SVM	[91.95,92.02]	91.99	0.693 7	[0.002 0,0.026 2]	0.793 5	86	[0.37,0.45]

识别方法	C₁₁/%	C₁₂/%	C₂₁	C₂₂	C₃	C₄₁/KB	C₄₂/s
PNN	[0.480 1,0.483 7]	[0.481 9,0.482 1]	[0.190 7,0.190 9]	[0.955 1,0.975 5]	[0.576 7,0.576 9]	[0.470 7,0.470 9]	[0.325 3,0.296 3]
SVM	[0.494 3,0.494 3]	[0.494 1,0.494 3]	[0.436 8,0.437 0]	[0.291 4,0.212 8]	[0.480 7,0.480 9]	[0.508 1,0.508 3]	[0.216 9,0.207 4]
GA-SVM	[0.512 0,0.511 3]	[0.511 2,0.511 4]	[0.485 7,0.485 9]	[0.053 7,0.054 9]	[0.461 7,0.461 9]	[0.533 2,0.533 4]	[0.632 5,0.651 8]
PSO-SVM	[0.512 8,0.510 9]	[0.511 8,0.512 0]	[0.732 5,0.732 7]	[0.002 3,0.010 0]	[0.472 0,0.472 2]	[0.539 4,0.539 6]	[0.668 7,0.666 6]

Method for comprehensive evaluation of effectiveness of radar emitter signals recognition

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