Phased Array Radar Signal Recognition Method Based on Ant Colony Optimization and SVM

Jian Feng Pu; Jun Lin; Yan Zhi Li; Wei Quan

doi:10.4028/www.scientific.net/AMM.263-266.2566

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 263-266Phased Array Radar Signal Recognition Method Based...

Phased Array Radar Signal Recognition Method Based on Ant Colony Optimization and SVM

Abstract:

In order to improve the efficiency for phased array radar's ESM, an ACO and SVM conjoint method is used in this paper to solve the problem of phased array radar signal recognition. By introducing ACO to supervise SVM parametric selection, the method is able to quickly discover seemly parameter value and improve SVM separation efficiency. Experimental results show that textual algorithm possess upper exactness rate to phased array radar that the whole pulse signals sorting can be identified. With normal-SVM and RST-SVM means to compare, the algorithm SVM parameter access time is short, thereby shorten the monolithic hour.

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Periodical:

Applied Mechanics and Materials (Volumes 263-266)

Pages:

2566-2569

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.263-266.2566

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Online since:

December 2012

Authors:

Jian Feng Pu, Jun Lin, Yan Zhi Li, Wei Quan

Keywords:

Ant Colony Optimization (ACO), Kernel Function, Phased Array Radar, Signal Recognition, Support Vector Machine (SVM)

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