A Review of Microwave Wireless Techniques for Human Presence Detection and Classification

Nanzer, Jeffrey A.

doi:10.1109/tmtt.2017.2650909

Cited by 77 publications

(23 citation statements)

References 72 publications

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“…The power spectral density (PSD) of BB noise, caused by LO phase-noise for in-phase (I) and quadrature (Q) components, takes its form according to (7) and (8), respectively: …”

Section: Phase Noisementioning

confidence: 99%

“…Above all, this concerns basic CW, frequency-modulated CW (FM-CW), step-frequency CW (SF-CW), or pseudo-noise CW (PN-CW) devices. Their popularity is due to their relative simplicity and the capability of being used as small sensors in many applications (automotive [1][2][3][4], medical [5], [6], human detection and rescue [7], [8], others [9]). Nowadays, probably the most important field is the automobile industry where FM-CW units are widely used as low-to mid-range radar sensors.…”

Section: Introductionmentioning

confidence: 99%

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Extended Noise Analysis Model of CW-type Radar Sensors with IQ Down-Conversion

Hudec¹,

Jeník²,

Panek³

2018

RADIOENGINEERING

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“…The power spectral density (PSD) of BB noise, caused by LO phase-noise for in-phase (I) and quadrature (Q) components, takes its form according to (7) and (8), respectively: …”

Section: Phase Noisementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Extended Noise Analysis Model of CW-type Radar Sensors with IQ Down-Conversion

Hudec¹,

Jeník²,

Panek³

2018

RADIOENGINEERING

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“…Radar is a kind of microwave sensor which can exploit signal processing techniques for target detecting, imaging and classification [1][2][3][4][5][6][7] . When the microwave pulse transmit by the radar bounced from the moving targets, the carrier frequency of the signal will be shifted, which is known as the Doppler effect.…”

Section: Introductionmentioning

confidence: 99%

“…Different kinds of targets may have different kinds of micro-motions, which makes micro-Doppler signature classification a promising means for identifying radar targets. The early studies are mainly focused on template-based classification of many kinds of targets, such as aircraft 1,[16][17] , human aquatic activity [3][4][5][6][7]18 , missile defence [19][20][21] and ground vehicles 10,[22][23][24] . Chen analysed the micro-Doppler modulation with a mathematical model in detail and introduced the micro-Doppler effect in radar [8][9] .…”

Section: Introductionmentioning

confidence: 99%

Template free Micro Doppler Signature Classification for Wheeled and Tracked Vehicles

et al. 2019

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The micro-Doppler signature is a time-varying frequency modulation imparted on radar echo caused by target's micro-motion. To save the trouble of constructing template in the target classification, this paper investigates the micro-Doppler signature of wheeled and tracked vehicles and proposes a template-free classification method. Firstly, the echo signature is established and the micro-Doppler difference of these two kinds of targets is analysed. Secondly, some new micro-Doppler features are defined according to their difference. The new defined features are micro-Doppler bandwidth, micro-Doppler expansion rate and micro-Doppler peak number. According to the characteristic of the micro-Doppler in the time-frequency domain, we proposed to realise the feature extraction by Hough transformation. Lastly, template-free subjection functions are proposed to define the relationship between the features and the vehicles. By fuzzy comprehensive evaluation, the final classification result is obtained by combining the subjection probabilities together. Experimental results based on the simulated data and measured data are presented, which prove that the algorithm has good performance.

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“…In both cases results showed, that human detection is feasible with radar, however, the quality of vital signal acquisition is highly dependent on posture of person. An excellent review on vital sign detection with radars is provided by [255].…”

mentioning

confidence: 99%

A novel robotic framework for safe inspection and telemanipulation in hazardous and unstructured environments

Castro¹

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First of all, I would like to express my deep gratitude to my research university supervisor, Professor Manuel Ferre Pérez, for his patient guidance, enthusiastic encouragement and useful critiques of this thesis. An immense thankfulness goes to my research CERN supervisor, Doctor Alessandro Masi, who has believed in my potential and who has always supported me during the last years, being my mentor and my inspiration. Thanks to the unconditional support of Roberto Losito for the direction of the Engineering Department at CERN, that provides extraordinary opportunities and individual development to its scientists. I would like to express my great appreciation and deep respect to Professor Raúl Marín Prades for the support for writing of the thesis, help and profound discussions on teleoperation and robotic controls. Also, I would like to offer my special thanks to my colleagues of the Mechatronics, Robotics and Operation Section within the Survey, Mechatronics and Measurement Group at CERN for their inestimable help in the building-up of this work.

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A Review of Microwave Wireless Techniques for Human Presence Detection and Classification

Cited by 77 publications

References 72 publications

Extended Noise Analysis Model of CW-type Radar Sensors with IQ Down-Conversion

Extended Noise Analysis Model of CW-type Radar Sensors with IQ Down-Conversion

Template free Micro Doppler Signature Classification for Wheeled and Tracked Vehicles

A novel robotic framework for safe inspection and telemanipulation in hazardous and unstructured environments

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