Through-the-Wall Micro-Doppler Signatures

Fairchild, Dustin P.; Narayanan, Ram M.; Beckel, Eric R.; Luk, Wai K.; Gaeta, Gerard A.

doi:10.1049/pbra034e_ch5

Cited by 10 publications

(7 citation statements)

References 32 publications

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“…In through-the-wall radar design and its return signal analysis, the properties of that wall represent critical factors which affected on the attenuation, dispersion, reflection, and refraction of the return signal and then on the Doppler signatures [23], [10]. The effect of the walls on the, Tx/Rx below X band, radar signals are concentrated in two points; the first one is the effect on the signal phase, this effect is simple and constant because of the wall is stationary.…”

Section: Wall Effectsmentioning

confidence: 99%

“…In this context, the properties of the wall which is produced the attenuation are; the permittivity (ε), permeability (µ), and the conductivity (σ), where, all these prosperities are varied on the frequency of the incident wave. If these material's properties are known, then the attenuation constant can be approximated as [23], [25]; = √ √1+ 1 where;…”

Section: Wall Effectsmentioning

confidence: 99%

“…Consequently, the frequency selection is important for applications because the material properties are dependent on it. [23]. However, if a stationary target vibrates, rotates, or maneuvers, its structural parts are in motion, and these induce the micro-Doppler modulations.…”

Section: Wall Effectsmentioning

confidence: 99%

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Through the Wall, Recognize Moving Targets Based on Micro-Doppler Signatures

Saeed

Al-Muifraje

Hatem

2018

IJECE

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Radar is a promising device for detection and recognition of invisible moving objects, Where, the micro-Doppler frequency shift caused by moving the object's parts have been represented as an attractive feature in the recognition process. In spite of that, no thorough analysis of human movement by bicycle and no discriminate from the running one through the wall in the literature. This paper presents a mathematical model of bicycle movement, then, the recognition of moving objects through the wall. Where three human movements; walking, running and on a bicycle have been recognized through two types of wall wood and cork. The theoretical analysis and measured was given a recognition 98.7% for human walking on his feet, 99% of the passenger on a bicycle, and 98% of the person running have been achieved without walls. While, a 95.4%, 96.2%, and 95% recognition have been gained from walking, moving by bicycle and running with wooden wall and 94%, 94.8%, and 93.3% respectively with cork wall. 2.4 GHz as a detector and SVM as classifier are used.

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Section: Wall Effectsmentioning

confidence: 99%

Section: Wall Effectsmentioning

confidence: 99%

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Through the Wall, Recognize Moving Targets Based on Micro-Doppler Signatures

Saeed

Al-Muifraje

Hatem

2018

IJECE

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“…The wall only reflects or attenuates the radar signals, depending on the wall properties. Through‐the‐wall recognition from radar micro‐Doppler signatures was studied in detail [116, 117]. Micro‐Doppler signatures of moving targets in urban multipath environments were investigated [118].…”

Section: Review Of Micro‐doppler Effect In Radarmentioning

confidence: 99%

Review of micro‐Doppler signatures

Tahmoush

2015

IET Radar, Sonar & Navigation

117

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“…Sea clutter is significantly variable [23], [24] and sea surface subjects have their micro‐motions influenced by the sea state [25–27], which can be a challenge but can also be exploited or penetrated [28]. The effects on micro‐Doppler signature classification in a free‐space versus a through‐the‐wall environment are explored [29], [30]. Removing the micro‐Doppler of windfarms from radar data has been an emerging area of research [31], [32].…”

mentioning

confidence: 99%