Classification of ground moving targets using bicepstrum-based features extracted from Micro-Doppler radar signatures
نویسندگان
چکیده
منابع مشابه
Classification of ground moving targets using bicepstrum-based features extracted from Micro-Doppler radar signatures
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...
متن کاملExtracting Micro-Doppler Radar Signatures From Rotating Targets Using Fourier-Bessel Transform and Time-Frequency Analysis
In this paper, we report the efficiency of Fourier Bessel transform and time-frequency based method in conjunction with the fractional Fourier transform, for extracting micro-Doppler radar signatures from the rotating targets. This approach comprises mainly of two processes; the first being decomposition of the radar return, in order to extract micro-Doppler (m-D) features and the second being,...
متن کاملClassification 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 ...
متن کاملIdentification of ground targets from sequential HRR radar signatures
An approach to identifying ground targets from sequential highrange-resolution (HRR) radar signatures is presented. A hidden Markov model (HMM) is employed to model the sequential information contained in multi-aspect target signatures. Dominant range-amplitude features are extracted via RELAX for dimension reduction. A new distance measure is incorporated into the HMM to allow a direct matchin...
متن کاملFeatures for micro-Doppler based activity classification
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...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: EURASIP Journal on Advances in Signal Processing
سال: 2013
ISSN: 1687-6180
DOI: 10.1186/1687-6180-2013-61