Detection Effectiveness Estimation Based on Multi-Angle Data and Visualization Analysis
Feng Zhu*1,*2,, Xiaofeng Hu*1, Xiaoyuan He*1, Bo Dai*3, Kaiming Li*4, and Lu Yang*5,*6
*1National Defense University of PLA
No.3 Hongshan Road, Haidian District, Beijing 100091, China
*2Academy of Military Sciences of PLA
No.30 Shuangqing Road, Haidian District, Beijing, China
*4Information and Navigation College, Airfore and Engineering University
No.1 Fenghao Road, Lianhu District, Xian, Shanxi, China
*5Naval Research Academy
No.9 West Lianhuachi Road, Fengtai District, Beijing, China
*6Key Laboratory of Complex Ship System Simulation
In intelligent confrontation games, how to estimate the detection effectiveness of the early-warning detection (EWD) system of systems (SoS) is the most important issue that has been studied in hopes of a breakthrough for the long time. The conventional approaches to effectiveness estimation have been reductionism or the linear estimation methods, which are not suitable for the estimation of the effectiveness of EWD SoS. Effectiveness estimation methods and ideas based on complex networks have been proposed and studied, which can inspire that the logic relationship in the SoS can be analyzed by using the network thoughts. As a development of some research based on the Data mode, data and visualization analysis methods have been proposed. In these approaches, the multi-angle data and visualization analysis methods can be utilized to directly show some significant relationships in the SoS from the different aspects, especially from different angles of sight. These statistics and suggested results can be employed to analyze the situation of SoS, so they have potentially important capabilities in terms of the estimation of EWD SoS. Therefore, in this paper, these new ideas are introduced into the study and solution of the problem of the detection effectiveness estimation of EWD SoS. On the basis that the running characteristics of the detecting work of the EWD SoS are described, the data method and idea with multi-angles for EWD SoS are proposed and discussed, and the visualization analysis method and ideas about EWD SoS are suggested and analyzed. Furthermore, a typical application is employed to estimate the detection effectiveness of EWD SoS, based on the data and visualization analysis methods stated in this paper. As the results of the estimate are generally consistent with the actual situation, the validity of the proposed methods is considered proven. The main work in this paper can provide new ideas on the study of the issue of the detection effectiveness estimation of EWD SoS, and it also helpful for SoS analysis and other estimations of effectiveness.
-  J. Liang, “A Review of Early Warning Surveillance Systems and Their Radar Technology,” Modern Radar, Vol.31, No.5, pp. 11-14, 2009 (in Chinese with English abstract).
-  F. Zhu, Q. Zhang, Y. Luo, K. Li, and F. Gu, “A Novel Cognitive ISAR Imaging Method with Random Stepped Frequency Chirp Signal,” Science China Information Science, Vol.55, No.8, pp. 1910-1924, 2012.
-  C. Zhang, F. Xie, Y. Chen, and X. Zhang, “Framework to Evaluate the Operational Effectiveness of the System of Early-warning System,” Fire Control and Command Control, Vol.33, No.12, pp. 84-87, 2008 (in Chinese).
-  S. Feng, K. Yin, and Z. Yang, “Research on Modeling of Early Warning System Based on Complex System Theory,” J. of Air Force Early Warning Academy, Vol.30, No.6, pp. 431-434, 2016 (in Chinese).
-  W. Cai, X. Li, F. Wan, and S. Wan, “Research on Modeling and Simulation for Radar Early Warning Detection System,” J. of System Simulation, Vol.21, No.3, pp. 862-867, 2009 (in Chinese with English abstract).
-  Z. Wang, X. Li, S. Wan, and C.-F. Bian, “Optimization of Equipment Architecture of Radar Early Warning Detection System,” J. of Academy of Armored Force Engineering, Vol.22, No.5, pp. 5-9, 2008 (in Chinese).
-  J. Song, “Research on Effectiveness Evaluation and Deployment Optimization Algorithm of Radar Network,” Master Thesis, University of Electronic Science and Technology of China, 2016.
-  X. Hu, X. He, and D. Rao, “A Methodology for Investigating the Capabilities of Command and Coordination for System of Systems Operation Based on Complex Network Theory,” Complex Systems and Complexity Science, Vol.12, No.2, pp. 9-17, 2015 (in Chinese).
-  G. Zhao and T. Wu, “Information Security Risk Assessment Based on G-ANP,” J. of Tsinghua University (Science and Technology), Vol.53, No.12, pp. 1761-1767, 2013 (in Chinese).
-  F. Shi, F. Yang, Y. Xu, and G. Wu, “Power Index Method for Operational Capability Evaluation of Weapon Equipment Based on ANP and Simulation,” Systems Engineering – Theory & Practice, Vol.31, No.6, pp. 1086-1094, 2011 (in Chinese).
-  X. Gao, L. Wu, Y. Liu, and G.-Y. Si, “Weapon System-of-Systems Effectiveness Analysis Based on Weighted Network of Networks Model,” J. of Command and Control, Vol.1, No.2, pp. 175-180, 2015 (in Chinese).
-  G. Si, X. Gao, Y. Liu, and L. Wu, “Method for Building Effectiveness Evaluation Index System Based on Big Simulation Data,” Big Data Research, Vol.2, No.4, pp. 57-68, 2016 (in Chinese).
-  S. Xu, G. Xie, and G. Pan, “The Basic Discussion about the Numerical Simulation of a Campaign Model,” Systems Engineering – Theory & Practice, Vol.20, No.7, pp. 106-111, 2000 (in Chinese).
-  M. Li, “New methods for statistical modeling and analysis of nondestructive evaluation data,” Doctoral Thesis, Iowa State University, 2010.
-  K. Cheng, R. Zhang, H. Zhang, and J. Che, “Effectiveness Evaluation Method Based on Statistical Analysis of Operations,” J. of Computer Applications, Vol.32, No.4, pp. 1157-1160, 2012.
-  B. Xiao, W. Huang, and M. Lu, “Combat simulation experiment research and practice,” Military Operations Research and Systems Engineering, Vol.24, No.1, pp. 28-33, 2010 (in Chinese).
-  D. Staneker, D. Bartz, and M. Meissner, “Improving Occlusion Query Efficiency with Occupancy Maps,” Proc. of the 2003 IEEE Symp. on Parallel and Large-Data Visualization and Graphics, pp. 111-118, 2003.
-  S.-E. Yoon, B. Salomon, R. Gayle, and D. Manocha, “Quick-VDR: Out-of-Core View-Dependent Rendering of Gigantic Models,” IEEE Trans. on Visualization and Computer Graphics, Vol.11, No.4, pp. 369-382, 2005.
This article is published under a Creative Commons Attribution-NoDerivatives 4.0 Internationa License.