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Performance optimization algorithm of radar signal processing system
Li X(李想); Du JS(杜劲松)
Department智能检测与装备研究室
Source PublicationCluster Computing
ISSN1386-7857
2017
Volume20Issue:1Pages:359-370
Indexed BySCI ; EI
EI Accession number20165203196181
WOS IDWOS:000397969100030
Contribution Rank1
KeywordRadar Signal Processing System Modeling Performance Prediction Performance Optimization
AbstractA 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.
Language英语
WOS HeadingsScience & Technology ; Technology
WOS SubjectComputer Science, Information Systems ; Computer Science, Theory & Methods
WOS KeywordMULTIOBJECTIVE OPTIMIZATION
WOS Research AreaComputer Science
Citation statistics
Document Type期刊论文
Identifierhttp://ir.sia.cn/handle/173321/19759
Collection智能检测与装备研究室
Corresponding AuthorLi X(李想)
Affiliation1.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, Liaoning, China
2.University of Chinese Academy of Sciences, Beijing, China
Recommended Citation
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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