Classification of small UAVs and birds by micro-Doppler signatures
نویسندگان
چکیده
منابع مشابه
Classification of personnel targets by acoustic micro-Doppler signatures
Classification of targets using their micro-Doppler signatures has attracted a growing interest in recent years. In addition to their main bulk translation, targets may exhibit additional motions, such as vibrations and rotations, which generate Doppler modulations in the echo that contain unique target features and thus can be used to perform target recognition. Although target classification ...
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In this article, a novel bicepstrum-based approach is suggested for ground moving radar target classification. Distinctive classification features were extracted from short-time backscattering bispectrum estimates of the micro-Doppler signature. Real radar data were obtained using surveillance Doppler microwave radar operating at 34 GHz. Classifier performance was studied in detail using the Ga...
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Safety and security applications benefit from better situational awareness. Radar micro-Doppler signatures from an observed target carry information about the target’s activity, and have potential to improve situational awareness. This article describes, compares, and discusses two methods to classify human activity based on radar micro-Doppler data. The first method extracts physically interpr...
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ژورنال
عنوان ژورنال: International Journal of Microwave and Wireless Technologies
سال: 2014
ISSN: 1759-0787,1759-0795
DOI: 10.1017/s1759078714000282