Research on optimal search performance of airborne phased array radar for radio frequency stealth

被引：0
|
作者：
Zhang Z.-K. [1 ,2 ]
Zhou J.-J. [1 ]
Wang F. [1 ]
Liu W.-Q. [1 ]
机构：
[1] Dept. of Information Science and Technology, Nanjing University of Aeronautics and Astronautics
[2] Dept. of Electronic Information, Jiangsu University of Science and Technology
来源：
Yuhang Xuebao/Journal of Astronautics | 2011年 / 32卷 / 09期
关键词：
Energy cost; Non-dominated sorting genetic algorithm II; Radar search; Radio frequency stealth;
D O I：
10.3873/j.issn.1000-1328.2011.09.022
中图分类号：
学科分类号：
摘要：
A novel search algorithm based on radio frequency stealth is presented for the first time in order to increase the viability of airborne phased array radar. Beam width, dwelling time and average transmitting power which influences the search performance are selected as optimized variables in the algorithm. A mathematical model of multi-objective optimization is established to achieve minimum energy cost and minimum 2-norm which is decided by estimated detection probability and expected detection probability. Non-dominated Sorting Genetic Algorithm II (NSGA II) is used for the optimization of the search performance. The optimal solution which minimizes the product of the two target functions is selected from the Pareto solution set at last. Compared with the search methods based on largest detection probability and largest initiation tracking distance, the simulation results show that the proposed algorithm consumes less energy and has better ability of radio frequency stealth.
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页码：2023 / 2028
页数：5
相关论文
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