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radar micro-Doppler signature

Through Wall Radar Classification of Human Micro-Doppler using Singular Value Decomposition Analysis

Through Wall Radar Classification of Human Micro-Doppler using Singular Value Decomposition Analysis

... and micro-Doppler signatures and are thought to be vital to the pre-processing in order to successfully classify the ...targets’ micro-Doppler signatures in this TTW configuration through the ...

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Body Gesture Recognition Based on Polarimetric Micro-Doppler Signature and Using Deep Convolutional Neural Network

Body Gesture Recognition Based on Polarimetric Micro-Doppler Signature and Using Deep Convolutional Neural Network

... in radar community for its potential applications in social security and rescue operations [1, ...a radar, the Doppler frequency modulation is generated in the echo ...cause Doppler frequency ...

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Micro-Doppler-based in-home aided and unaided walking recognition with multiple radar and sonar systems

Micro-Doppler-based in-home aided and unaided walking recognition with multiple radar and sonar systems

... each radar and sonar system for different degrees of mobility are shown in Figures 3 - ...pulsed Doppler system, due to its higher transmit frequency and greater range resolution; however, all systems share ...

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Radar micro Doppler signatures of drones and birds at K band and W band

Radar micro Doppler signatures of drones and birds at K band and W band

... the micro-Doppler characteristics of drones and birds differ signif- ...characteristic micro-Doppler signature is the wide signal spread over both sidebands about the ...drone ...

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Model-based sparse recovery method for automatic classification of helicopters

Model-based sparse recovery method for automatic classification of helicopters

... The micro-Doppler (mD) effect refers to the variations of the Doppler frequency induced by micro motions of some components of a target, such as oscillations of arms and legs of a walking ...

5

GNSS based passive bistatic radar for micro-doppler based classification of helicopters : experimental validation

GNSS based passive bistatic radar for micro-doppler based classification of helicopters : experimental validation

... extracting micro- Doppler signatures of main rotor of helicopters exploiting GNSS signals of opportunity has been demonstrated through the acquisition of real signals from 2 helicopters flying in the ...

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A Doppler aliasing free micro motion parameter estimation method in the terahertz band

A Doppler aliasing free micro motion parameter estimation method in the terahertz band

... pulsed radar operating at 225 GHz early in 1991, and ob- tained the Doppler spectrum of a stationary truck with its engine running ...typical micro-motion forms to establish the ...

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Radar micro-Doppler for loudspeaker analysis : an industrial process application

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 ...

6

Developments in target micro-Doppler signatures analysis : radar imaging, ultrasound and through-the-wall radar

Developments in target micro-Doppler signatures analysis : radar imaging, ultrasound and through-the-wall radar

... an acoustic camera was deployed to gather target reflec- tion from two personnel targets and a propeller when tones limited to 20 and 40 kHz were transmitted with a loudspeaker. The acoustic camera is a sensor designed ...

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Classification of ground moving targets using bicepstrum based features extracted from Micro Doppler radar signatures

Classification of ground moving targets using bicepstrum based features extracted from Micro Doppler radar signatures

... moving radar target ...the micro-Doppler signature. Real radar data were obtained using surveillance Doppler microwave radar operating at 34 ...real radar ...

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Millimeter wave radar micro Doppler feature extraction of consumer drones and birds for target discrimination

Millimeter wave radar micro Doppler feature extraction of consumer drones and birds for target discrimination

... bulk Doppler signature becomes redundant from the feature extraction point of ...zero Doppler (corresponding to clutter and/or hovering targets) can be removed as our focus is only on the ...the ...

10

Assimilation of wind data from airborne Doppler cloud-profiling radar in a kilometre-scale NWP system

Assimilation of wind data from airborne Doppler cloud-profiling radar in a kilometre-scale NWP system

... First, the four different experimental designs are run dur- ing a 45-day cycled period from 00:00 UTC 24 Septem- ber 2012, which is the day when the Falcon 20 first flew during HyMeX-SOP1, to 5 November 2012, after the ...

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Subspace Impulsive Interference Suppression in OTHR

Subspace Impulsive Interference Suppression in OTHR

... Abstract—This paper proposes a novel subspace projection algorithm for impulsive interference (IMI) suppression in echo samples received by an over-the-horizon radar (OTHR). We particularly highlight the model ...

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SISAR imaging - radio holography signal reconstruction based on receiver-transmitter motion

SISAR imaging - radio holography signal reconstruction based on receiver-transmitter motion

... processing followed by HT and second order main lobe fitting was introduced. However these methods were designed for a simplified scenario in which transmitter and receiver where stationary. In this work it is shown ...

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Index Terms - Doppler frequency, pendulum, radar, zelscope

Index Terms - Doppler frequency, pendulum, radar, zelscope

... radars, Doppler radar detects an object by sending out a series of pulses of electromagnetic radiation in the radio or microwave region of the ...research, Doppler radar is used to find out ...

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Short term Precipitation Prediction Based on a Neural Network Method from Radar Observations

Short term Precipitation Prediction Based on a Neural Network Method from Radar Observations

... ANN is the basal algorithm used in this paper. As a representative of machine learning, or even AI, its accuracy and applicability improves rapidly. Therefore, more high-performance networks should be trained in our ...

6

Detection and tracking for radar simulation using MATLAB

Detection and tracking for radar simulation using MATLAB

... a radar system are illustrated in the simple block diagram of ...The radar signal, usually a repetitive train of short pulses, is generated by the transmitter and radiated into space by the ...the ...

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Combined vertical-velocity observations with Doppler lidar, cloud radar and wind profiler

Combined vertical-velocity observations with Doppler lidar, cloud radar and wind profiler

... The Doppler lidar (λ = ...cloud radar (λ = ...cloud radar has been done before (Tridon et ...GHz radar. It is the focus of this paper to show that an additional Doppler lidar can de- ...

10

Automation Testing Tool for Doppler Weather RADAR

Automation Testing Tool for Doppler Weather RADAR

... Weather Radar (DWR) subsystems are usually tested on radar site by feeding inputs manually using signal generators and recording the output on the oscilloscope, thus needing more resources and testing ...to ...

6

Doppler filtering and detection strategies for multifunction radar.

Doppler filtering and detection strategies for multifunction radar.

... Using real data with a real target in the lower range cells the persistence method is complementary to Intensity and has the advantage of thresholding based upon a physical measure of ti[r] ...

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