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Performance optimization algorithm of radar signal processing system
Li X(李想); Du JS(杜劲松)
作者部门智能检测与装备研究室
关键词Radar Signal Processing System Modeling Performance Prediction Performance Optimization
发表期刊Cluster Computing
ISSN1386-7857
2017
卷号20期号:1页码:359-370
收录类别SCI ; EI
EI收录号20165203196181
WOS记录号WOS:000397969100030
产权排序1
摘要A performance optimization algorithm of radar signal processing system is proposed. Based on a new modeling mode of radar signal processing system, the values of performance indexes of radar system can be predicted by a performance prediction method during the design phase. Then based on immune clone and immune memory theory in artificial immune system, this paper presents an immune memory clone constrained multi-objective optimization algorithm to generate the optimal system design schemes automatically. Experimental results show that the proposed performance optimization algorithm can search out the optimal design schemes that make system performance reach or near to optimum. The optimal solutions of the proposed algorithm are more diverse and better in terms of uniformity than NSGA-II and SPEA2.
语种英语
WOS标题词Science & Technology ; Technology
WOS类目Computer Science, Information Systems ; Computer Science, Theory & Methods
关键词[WOS]MULTIOBJECTIVE OPTIMIZATION
WOS研究方向Computer Science
引用统计
文献类型期刊论文
条目标识符http://ir.sia.cn/handle/173321/19759
专题智能检测与装备研究室
通讯作者Li X(李想)
作者单位1.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, Liaoning, China
2.University of Chinese Academy of Sciences, Beijing, China
推荐引用方式
GB/T 7714
Li X,Du JS. Performance optimization algorithm of radar signal processing system[J]. Cluster Computing,2017,20(1):359-370.
APA Li X,&Du JS.(2017).Performance optimization algorithm of radar signal processing system.Cluster Computing,20(1),359-370.
MLA Li X,et al."Performance optimization algorithm of radar signal processing system".Cluster Computing 20.1(2017):359-370.
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