Operational Effectiveness Assessment for Electronic Warfare UAVs Based on Improved WNN

CHEN Xia; HU Naikuan

doi:10.3969/j.issn.1671-637x.2018.05.013

Journals >Electronics Optics & Control >Volume 25 >Issue 5 >Page 64 > Article

Electronics Optics & Control
Vol. 25, Issue 5, 64 (2018)

Operational Effectiveness Assessment for Electronic Warfare UAVs Based on Improved WNN

CHEN Xia and HU Naikuan

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[in Chinese]

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DOI: 10.3969/j.issn.1671-637x.2018.05.013 Cite this Article

CHEN Xia, HU Naikuan. Operational Effectiveness Assessment for Electronic Warfare UAVs Based on Improved WNN[J]. Electronics Optics & Control, 2018, 25(5): 64 Copy Citation Text

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References

[1] XUAN Y B, HUANG C Q, LI W X. Air combat situation assessment by gray fuzzy Bayesian network［J］. Applied Mechanics and Materials, 2011(69): 114-119.

[2] LI Y N, HAN Z Z. Index and evaluation of radar anti-jamming ability based on improved grey correlation ［J］. Advanced Materials Research, 2014(926-930): 3629-3632.

[3] QI Z F, WANG G S. Effectiveness evaluation of electronic warfare command and control system based on grey AHP method ［J］. Journal of Chemical and Pharmaceutical Research, 2014, 6(7): 535-542.

[4] GUO J, LI T W, LI C X, et al. Construction of shipborne navigation equipments comprehensive effectiveness evaluation index system based on improved ADC model［C］//IEEE Chinese Guidance, Navigation and Control Conference, 2015: 822-826.

CLP Journals

[1] YU Jing, ZHOU Xuan, HE Feng, GU Xiaoyan. Effectiveness Evaluation of Avionics System Based on Wavelet Neural Network[J]. Electronics Optics & Control, 2021, 28(9): 70

CHEN Xia, HU Naikuan. Operational Effectiveness Assessment for Electronic Warfare UAVs Based on Improved WNN[J]. Electronics Optics & Control, 2018, 25(5): 64

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