2019
DOI: 10.1049/joe.2019.0434
|View full text |Cite
|
Sign up to set email alerts
|

Analysis of phase noise influence on micro‐Doppler feature extraction of vibrating target

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3

Citation Types

0
3
0

Year Published

2022
2022
2022
2022

Publication Types

Select...
1

Relationship

0
1

Authors

Journals

citations
Cited by 1 publication
(3 citation statements)
references
References 12 publications
(12 reference statements)
0
3
0
Order By: Relevance
“…In the framework of wave scattering problems, the Doppler effect [11,23] characterizes the property that the motion of a target modulates the frequency of the reflected signal initially emitted by a source. For motions with uniform velocity, the Doppler frequency shift can be easily obtained [9] while for more general movements it is estimated by combining simple models and signal processing techniques [6,7,11,12,24,29,32]. During the last years, the radar detection of non uniformly moving scatterers was applied to a wide variety of problems because of the availability of newly designed high-frequency sensors and devices.…”
Section: Introductionmentioning
confidence: 99%
See 2 more Smart Citations
“…In the framework of wave scattering problems, the Doppler effect [11,23] characterizes the property that the motion of a target modulates the frequency of the reflected signal initially emitted by a source. For motions with uniform velocity, the Doppler frequency shift can be easily obtained [9] while for more general movements it is estimated by combining simple models and signal processing techniques [6,7,11,12,24,29,32]. During the last years, the radar detection of non uniformly moving scatterers was applied to a wide variety of problems because of the availability of newly designed high-frequency sensors and devices.…”
Section: Introductionmentioning
confidence: 99%
“…In the automotive industry, micro-Doppler sensing has recently been applied with success [17,24,27,29] to the contactless detection of vital signs, in particular for the breathing of children left alone on the back seat of overheating cars. Difficult challenges are then related to this kind of applications as for example the analysis of random body movements or vehicle vibrations [17,24,29,31,32,33] that can be classified thanks to their radar signature by deep learning techniques [3,4,14]. In the development life cycle of these new sensors, a full realistic simulation of the high frequency scenarios is therefore needed.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation