2017 IEEE International Conference on Microwaves, Antennas, Communications and Electronic Systems (COMCAS) 2017
DOI: 10.1109/comcas.2017.8244742
|View full text |Cite
|
Sign up to set email alerts
|

Blind separation of several biological objects respiration patterns by means of a step-frequency continuous-wave bioradar

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
7
0

Year Published

2018
2018
2023
2023

Publication Types

Select...
4
2

Relationship

1
5

Authors

Journals

citations
Cited by 6 publications
(7 citation statements)
references
References 6 publications
0
7
0
Order By: Relevance
“…Generally, the arrays show higher gain (10.8-25 dBi), when compared with a single antenna (5.8-9.80 dBi). As an exception, the single horn antennas presented in [19,35] had gain equal to 25 dBi and 20 dBi, respectively.…”
Section: Discussionmentioning
confidence: 98%
See 1 more Smart Citation
“…Generally, the arrays show higher gain (10.8-25 dBi), when compared with a single antenna (5.8-9.80 dBi). As an exception, the single horn antennas presented in [19,35] had gain equal to 25 dBi and 20 dBi, respectively.…”
Section: Discussionmentioning
confidence: 98%
“…Some commercially available bio-radars have also been tested. In [35], the authors proposed a new method of blind source separation for signal from multiple subjects. In this work, the authors used a stepped frequency CW bio-radar BioRASCAN-4 (RSLab, Moscow, Russia) [36] that is composed by two horn antennas, operating at 3.6-4.0 GHz, with a constant gain equal to 20 dBi.…”
Section: Customized Antennas For Commercial Transceiversmentioning
confidence: 99%
“…Using spaced transceivers should allow the observation of a biological object from different angles, which results in different amplitude levels of a received signal. Moreover, such architecture allows separating the vital signs patterns of two different, simultaneously observed humans if needed, which is described in [34].…”
Section: Methodsmentioning
confidence: 99%
“…Another powerful algorithm to detect breathing rates of multiple subjects is the independent component analysis (ICA) [111,112] technique. This method allows blind segregation of data into independent sources.…”
Section: Background Research and Literature Reviewmentioning
confidence: 99%
“…This method allows blind segregation of data into independent sources. This method was applied to separate the breathing rates of three people successfully by an step frequency continuous wave (SFCW) radar sensor [111].…”
Section: Background Research and Literature Reviewmentioning
confidence: 99%