The Overlay Deployment Model under Interference Based on Marginal Fitting

Abstract:

Under the condition of interference, when to optimize the network deployment with the energy of the radiation characteristics of node, it is significant to improve the efficiency of the objective function evaluation.The overlap deployment model based on the compression projection is put forward in this paper, including the projection grid model based on the margin fitting, and the fusion boundary generation based on the projection grid, measurement of covered area and overlap coefficient evaluation algorithm to provide the efficient algorithm for the calculation of optimization goals such as the integration area, cover index and overlap coefficient . It changed the past calculation mode, which is random and extensive, as Monte Carlo sampling and the physical grid statistics method. The algorithm analysis and experiments showed that, the overlap deployment model based on the compression projection, compared with the previous model, had the characteristics of high precision and low-power, it can complete the calculation three indicators of the integration area,the covering index and overlap index with the accuracy of up to 99%.

• Periodical: Applied Mechanics and Materials (Volumes 536-537)
• Pages: 760-770
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.536-537.760
• Online since: April 2014
• Authors: Yi Xuan Lin*
• Keywords: Cover Index, Integration Arear, Marginal Fitting, Netted Radar, Overlap Index

References

[1] HUANG Hu-sheng, XIONG Jia-jun, YANG Long-po. Radar Network Deployment Optimizing Strategy in Jamming Condition [J]. Information of Mecro-Compute, Vol. 9-3, No. 25, 2009 : 120-122. (in Chinese).

[2] Yang Longpo, Xiong Jiajun, Cui Jian. Method of Optimal Deployment for Radar Netting Based on Detection Probability [J].

[3] Que W Y, Peng Y N, Liu D J, et al. An Approach to Radar Netting. CIE International Conference, Radar Proceedings[C], 1996: 573-577.

[4] WANG Zhongjie, LI Xia, ZHOU Qiming, et al. Optimal deployment of radar network based on multi-constrained GA[J]. Systems Engineering and Electronics, 2008, 30(2): 265-268.

[5] SHAO Guo-pei, CAO Zhi-yao, HE Jun. Evaluation of Electrical[M], BEI JING: PLA , (1998).

[6] LIU Yi-bin, GUAN Xiang-chen, LU Jian-wei, et al. Radar detection capability analysis and simulation in complicated electromagnetic environment[J].

[7] XING Fu-cheng，KANG Xi—zhang，W ANG Guo-hong. The M ight Scope of Radar Network in Jamming[J]. Fire Control and Command Control, Vol. 6, No. 31, 2006: 90-93.

[8] LI Xia1, CAI Wan-yong, HUA Liang-fa, et al. Algorithms of anti-jamming optimized arrangement for radar networking system with warning area[J]. Systems Engineer ing and Electronics, Vol. 8, No. 29, 2007: 1254-1257.

[9] SHA Chao , WANG Ru-chuan, HUANG Hai-ping, et al. An Energy-Saving Coverage Scheme Based on Multi-Objective Genetic Algorithms in Wireless Multi-Media Sensor Networks[J]. ACrA EI CrR0NICA SINICA, Vol. 1, No. 40, 2012: 19-26.

[10] LIU Yi-an, MENG Xian-hai, YANG Hua-ming, et al. Application of a Particle Swarm Optimization Algorithm to Optimizing Radar-net[J]. ACTA ARM AM ENTARII, Vol. 5, No. 28, 2007: 547-550.

[11] Yanwei Jue, Yingning Peng, Dajin Lun, et al. The method of radar deployment [J], Tsinghua University Press1997, 37(4): 45-48.

[12] LU Ying-qi, ZHU Chang-ying. An Optimal Deploy Method of Netted Radar for Detecting Stealth Target[J], Vol. 6, 2007: 166-169.

[13] LV Yue, ZHANG Bing. Anti-jamming Optimal Arrangement of Radar Networking System with Warning Area[J]. Fire Control and Command Control, Vol. 8, No. 36, 2011: 83-86.

[14] Jing Chen. Theory of passive radar interference[M], Beijing: Press of Defence Industry, (2009).

[15] Xiaomo Wang, Guangyi Zhang. Radar and Detection[M], Beijing: Press of Defence Industry, (2008).

[16] Xiaoyue Wu. Theory of Decision Analysis[M]. Beijing: Press of Beijing. (2010).