micro-doppler based classification
GNSS based passive bistatic radar for micro-doppler based classification of helicopters : experimental validation
... stationary Doppler modulations named micro-Doppler ...of micro-Doppler for target classification has been deeply investigated in recent years [18], and it can be now considered a ...
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Micro-doppler classification of ballistic threats using krawtchouk moments
... novel micro-Doppler based classification technique is presented in this paper characterized by the employment of Krawtchouk ...filter based approach is described by testing both the ...
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A novel algorithm for radar classification based on Doppler characteristics exploiting orthogonal pseudo-Zernike polynomials
... the classification performance experiences a reduction due to the reduced amount of micro-Doppler information contained in the analyzed signal [see ...MFP based classifier suggested in [15] ...
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Micro-Doppler-based in-home aided and unaided walking recognition with multiple radar and sonar systems
... in micro-Doppler exhibited for different activities. Micro-Doppler [3] are frequency modulations about the central Doppler shift that are caused by vibrations or rotations of parts of ...
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Micro-Doppler based recognition of ballistic targets using 2D gabor filters
... radar micro-Doppler classification based on the processing of the Cadence Velocity Diagram (CVD) with Gabor filter is ...symbol classification, as in [7] and [10], and for face ...
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Micro-Doppler Extraction and Analysis of the Ballistic Missile Using RDA Based on the Real Flight Scenario
... High-resolution RPs can contribute to the increased classification ratio; however, the increased number of RPs may yield poorly aligned RPs. Thus, we studied the effect of B in extracting the MD of the missile. ...
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Millimeter wave radar micro Doppler feature extraction of consumer drones and birds for target discrimination
... radar micro-Doppler features of consumer drones and birds which can be fed to a classifier for target ...the micro-Doppler signature characteristics of in-flight targets obtained with a ...
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Model-based sparse recovery method for automatic classification of helicopters
... automatic classification algorithm for helicopters was ...the micro-Doppler parameters of the ...the classification by simply comparing them with micro-Doppler parameters of ...
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A Human Gait Classification Method Based on Radar Doppler Spectrograms
... the Doppler e ff ...the Doppler frequency, referred to as micro-Doppler ...These micro-Doppler signatures have been studied in ...
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On model, algorithms and experiment for micro-doppler based recognition of ballistic targets
... use micro-Doppler infor- mation to identify different targets in many fields of inter- est, ...motion classification [6] and air moving target recognition ...motion classification are ...
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Robust principal component analysis for micro-doppler based automatic target recognition
... to micro-Doppler feature extraction have been documented where the aim has been to generate feature sets which are useful for a subsequent classification stage to identify the type of motion present ...
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Efficient micro-doppler based pedestrian activity classification for ADAS systems using Krawtchouk moments
... the classification algorithm by Clemente et ...pedestrian classification with a Raspberry Pi 2 on simultaneously captured real K-band radar data on a trained classifier containing four classes of ...
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Radar micro-Doppler for loudspeaker analysis : an industrial process application
... for micro-Doppler analysis has grown in the past decades, reaching a plethora of sectors and applications [1, ...the micro-Doppler signature has been used to detect and classify ...on ...
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Robust PCA for micro-doppler classification using SVM on embedded systems
... time classification system exploiting the proposed extraction technique, the low-cost floating-point DSP board TMS320C6713 DSK from Texas Instruments [23] has been ...embedded classification system in real ...
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Multi-aspect micro-Doppler signatures for attitude-independent L/N quotient estimation and its application to helicopter classification
... Based on the analytical relationship between the maximal micro-Doppler 51 shift and the helicopter attitude, the attitude angles of the helicopter can be solved by analysing the micro- 5[r] ...
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Classification of ground moving targets using bicepstrum based features extracted from Micro Doppler radar signatures
... It has been shown in our previous articles [6,7,10,11] that sophisticated bispectrum-based signal processing permits the extraction and use for radar target recog- nition of the discrimination and ...
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Radar micro Doppler signatures of drones and birds at K band and W band
... radar micro-Doppler properties of drones and ...induce micro-Doppler signatures due to their propeller blade rotation and wingbeats, ...of micro-Doppler signatures of different ...
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Analysis of Phase Noise Influence on Micro-Doppler Feature Extraction of Vibrating Target
... of micro-motion ...of micro-motion ...evaluated based on the parameter of ...of micro-motion features in the case of using both the classic time-frequency analysis method and the new developed ...
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Research on Chinese Micro blog Sentiment Classification Based on Recurrent Neural Network
... sentiment classification of micro-blog text, who by using the ideas put forward by Pang et ...sentiment classification of Twitter ...sentiment classification integrated the four learning ...
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Ensemble based classification approach for micro RNA mining applied on diverse metagenomic sequences
... The receiver operating characteristic curve (ROC), is a plot which evaluates the predictive ability of a binary clas- sifier. ROC curves show how the number of correctly classified positive examples varies relative to ...
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