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Cluster Computing

Erschienen in:

26.12.2016

Performance optimization algorithm of radar signal processing system

verfasst von: Xiang Li, Jinsong Du

Erschienen in: Cluster Computing | Ausgabe 1/2017

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Abstract

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.

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Titel: Performance optimization algorithm of radar signal processing system
verfasst von: Xiang Li
Jinsong Du
Publikationsdatum: 26.12.2016
Verlag: Springer US
Erschienen in: Cluster Computing / Ausgabe 1/2017
Print ISSN: 1386-7857
Elektronische ISSN: 1573-7543
DOI: https://doi.org/10.1007/s10586-016-0710-6

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