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Multi-Decision Model of Target Radar Based on Distributed Optimization Genetic Algorithm: Supply Chain Coordination Perspective

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DOI: 10.23977/acss.2019.31006 | Downloads: 4 | Views: 25

Author(s)

Wang Peng 1

Affiliation(s)

1 School of Economics and Management, Dalian University, China

Corresponding Author

Wang Peng

ABSTRACT

When the target number exceeds the processing capacity of the single radar and the command capacity of the commander, and the normal air handling cannot be guaranteed, how to properly distribute the radar mission of the radar network to ensure the completion of the combat mission is a problem worthy of further study. In order to solve this problem, the method of classification command is proposed. The threat index of the target is analyzed and quantified, and the target is classified by fuzzy clustering method. According to the performance, function and characteristics of each radar, the radar of radar network is classified. Analyze and quantify the matching index of radar class and target class, and establish a classification command decision model for radar network detection of multiple batches of targets.

KEYWORDS

Classification command, threat index, matching index, classification command decision model

CITE THIS PAPER

Wang Peng, Multi-Decision Model of Target Radar Based on Distributed Optimization Genetic Algorithm: Supply Chain Coordination Perspective . Advances in Computer, Signals and Systems (2019) 3: 31-34. DOI: http://dx.doi.org/10.23977/acss.2019.31006.

REFERENCES

[1] Huayu Fan, Lixiang Ren & Erke Mao (2017). A High-Precision Phase-Derived Range and Velocity Measurement Method Based On Synthetic Wideband Pulse Doppler Radar. Science China Information Sciences, 60(8).
[2] J. Markkanen, T. Nygrén, M. Markkanen & A. Aikio. (2013). High-Precision Measurement of Satellite Range And Velocity Using The Eiscat Radar. Annales Geophysicae, 31859-870.
[3] Xingyu He, Ningning Tong & Weike Feng. (2019). High-Resolution Isar Imaging of Fast Rotating Targets Based on Pattern-Coupled Bayesian Strategy for Multiple Measurement Vectors. Digital Signal Processing, 93151-159.
[4] V. N. Lagutkin (2018). Potential Accuracy of Estimation and Compensation of Ionospheric Errors of Radar Measurements of the Ranges of Space Objects Using Chirp Pulses. Journal of Communications Technology and Electronics, 63(6), 566-569.

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