| 雷达部署优化模型 |
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| 引用本文： | 高尚.雷达部署优化模型[J].应用科学学报,2006,24(4):437-440. |
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| 作者姓名： | 高尚 |
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| 作者单位： | 江苏科技大学电子信息学院, 江苏镇江 212003 |
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| 摘 要： | 研究了多部雷达联合发现目标概率,建立了环形、直线、扇形3种方式以及多道防线的雷达部署优化模型.对于环形、直线、扇形3种方式可以用完全枚举法、黄金分割法和坐标轮换法求出最优解.对于多道防线,雷达数n不是很大的情况,可采用完全枚举法与坐标轮换方法相结合;当n很大时,可以采用遗传算法与坐标轮换方法相结合.
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| 关 键 词： | 坐标轮换法 黄金分割法 发现概率 Monte Carlo法 遗传算法 |
| 文章编号： | 0255-8297（2006）04-0437-04 |
| 收稿时间： | 2005-06-02 |
| 修稿时间： | 2005-06-022005-06-30 |
Optimization Model for Radar Deployment |
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| GAO Shang.Optimization Model for Radar Deployment[J].Journal of Applied Sciences,2006,24(4):437-440. |
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| Authors: | GAO Shang |
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| Institution: | School of Electronics & Information, J iangsu University of Science and Technology, Zhenjiang 212003, China |
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| Abstract: | Joint probability of target detection in a system of multiple radar sets is studied.Several models of optimum deployment in circle,line,sector and multi-line,respectively,have been built.Optimum models of circle,line and sector deployment can be obtained using methods of exhaustive enumeration,golden section,or coordinate alternation.For multi-line arrays,if the number of radars is not too large,the problem can be solved using a combination of exhaustive enumeration and coordinate alternation.When the number of radars is large,a combination of genetic algorithm and the coordinate alternation method should be used. |
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| Keywords: | target detection probability Monte Carlo method golden section method coordinate alternation genetic algorithm |
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