基于支持向量机的窄带雷达弹道导弹目标识别技术

Abstract

Abstract:

Subject to radar bandwidth, the narrowband radar cant obtain the information of highresolution structure of targets. In case of the narrowband radar, targets are classified only by characteristics of orbital motion and Rradar Cross Section (RCS). In this paper, characteristics of missile warhead group and body group are extracted, and missile targets from a narrowband radar experiment data are classified using Support Vector Machine (SVM). After classification of missile warhead group and body group, the narrowband radar can track missile warhead group using more time and energy. In the meantime, the location of the main target can provide for broadband identification radar.

Key words: support vector machine, narrowband, target recognition, radar, ballistic missile

CLC Number:

TN958

WEI Wenbo，CAI Hongjun. Narrowband Radar Ballistic Missile Target Recognition Technology Based on SVM[J]., 2016, 29(6): 75-.

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Narrowband Radar Ballistic Missile Target Recognition Technology Based on SVM

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