NOISE FEATURES OF BREATH AND HEARTBEAT INFORMANT SIGNALS
Subject and Purpose. The subject of research is the flicker noise present in informant signals of search-and-rescue radars, specifically its properties and the effect it may have on algorithms for detecting and identifying manifestations of human breath and heartbeat processes during rescue operatio...
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| Format: | Article |
| Language: | English |
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National Academy of Sciences of Ukraine, Institute of Radio Astronomy
2022-12-01
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| Series: | Radio Physics and Radio Astronomy |
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| Online Access: | http://rpra-journal.org.ua/index.php/ra/article/view/1402/pdf |
| _version_ | 1798005035000397824 |
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| author | O. V. Sytnik |
| author_facet | O. V. Sytnik |
| author_sort | O. V. Sytnik |
| collection | DOAJ |
| description | Subject and Purpose. The subject of research is the flicker noise present in informant signals of search-and-rescue radars, specifically its properties and the effect it may have on algorithms for detecting and identifying manifestations of human breath and heartbeat processes during rescue operations. The work has been aimed at creating a suitable description of flicker noise for developing optimal algorithms of digital signal processing for quick detection and identification of informant signals during rescue missions.
Method and Methodology. The low-frequency flicker noise has been modeled within the polynomial equations technique, proceeding from an analysis of real data on noise components in the output signals from a coherent search-and-rescue radar. A comparative analysis is done for a variety of approximating functions suggested for representing the low frequency portion of the spectrum observed.
Results. For the low-frequency range wherein spectral components of the informative signal owing to respiration and heartbeat of humans are concentrated, an adequate model of the fluctuating interference is the flicker noise model built on the basis of polynomial equations. The problem of optimized model representation of the noise in digital signal processing algorithms has been analyzed for the case of a coherent search-and-rescue radar. A model of the fluctuating process has been suggested, based on a polynomial approximation for the spectral function in the low-frequency range of the signals observed at the radar output.
Conclusion. Spectral characteristics of both interference and informant signals have been investigated. A structural diagram has been proposed for a high sensitivity, coherent search-and-rescue radar implementing a signal storage algorithm based on the polynomial model of the fluctuating process. The advantages and disadvantages of the radar are discussed, with examples given of real signal implementations and of noise spectrograms. Methods of effective estimation of Doppler signal phases are presented. The paper suggests an analysis of basic requirements as to parameters and performance characteristics of the rescue radar. |
| first_indexed | 2024-04-11T12:32:50Z |
| format | Article |
| id | doaj.art-e86bde3987e140f98474e62fb99783e6 |
| institution | Directory Open Access Journal |
| issn | 1027-9636 2415-7007 |
| language | English |
| last_indexed | 2024-04-11T12:32:50Z |
| publishDate | 2022-12-01 |
| publisher | National Academy of Sciences of Ukraine, Institute of Radio Astronomy |
| record_format | Article |
| series | Radio Physics and Radio Astronomy |
| spelling | doaj.art-e86bde3987e140f98474e62fb99783e62022-12-22T04:23:42ZengNational Academy of Sciences of Ukraine, Institute of Radio AstronomyRadio Physics and Radio Astronomy1027-96362415-70072022-12-0127428428810.15407/rpra27.04.284NOISE FEATURES OF BREATH AND HEARTBEAT INFORMANT SIGNALSO. V. Sytnik0O.Ya. Usikov Institute for Radio Physics and Electronics of NASU, 12, Acad. Proskury St., Kharkiv, 61085, Ukraine Subject and Purpose. The subject of research is the flicker noise present in informant signals of search-and-rescue radars, specifically its properties and the effect it may have on algorithms for detecting and identifying manifestations of human breath and heartbeat processes during rescue operations. The work has been aimed at creating a suitable description of flicker noise for developing optimal algorithms of digital signal processing for quick detection and identification of informant signals during rescue missions. Method and Methodology. The low-frequency flicker noise has been modeled within the polynomial equations technique, proceeding from an analysis of real data on noise components in the output signals from a coherent search-and-rescue radar. A comparative analysis is done for a variety of approximating functions suggested for representing the low frequency portion of the spectrum observed. Results. For the low-frequency range wherein spectral components of the informative signal owing to respiration and heartbeat of humans are concentrated, an adequate model of the fluctuating interference is the flicker noise model built on the basis of polynomial equations. The problem of optimized model representation of the noise in digital signal processing algorithms has been analyzed for the case of a coherent search-and-rescue radar. A model of the fluctuating process has been suggested, based on a polynomial approximation for the spectral function in the low-frequency range of the signals observed at the radar output. Conclusion. Spectral characteristics of both interference and informant signals have been investigated. A structural diagram has been proposed for a high sensitivity, coherent search-and-rescue radar implementing a signal storage algorithm based on the polynomial model of the fluctuating process. The advantages and disadvantages of the radar are discussed, with examples given of real signal implementations and of noise spectrograms. Methods of effective estimation of Doppler signal phases are presented. The paper suggests an analysis of basic requirements as to parameters and performance characteristics of the rescue radar.http://rpra-journal.org.ua/index.php/ra/article/view/1402/pdfpolynomial modelflicker noisealgorithmprobe signalslow-frequency noisedoppler-shifted signalcoherent search-and-rescue radaropaque obstacles |
| spellingShingle | O. V. Sytnik NOISE FEATURES OF BREATH AND HEARTBEAT INFORMANT SIGNALS Radio Physics and Radio Astronomy polynomial model flicker noise algorithm probe signals low-frequency noise doppler-shifted signal coherent search-and-rescue radar opaque obstacles |
| title | NOISE FEATURES OF BREATH AND HEARTBEAT INFORMANT SIGNALS |
| title_full | NOISE FEATURES OF BREATH AND HEARTBEAT INFORMANT SIGNALS |
| title_fullStr | NOISE FEATURES OF BREATH AND HEARTBEAT INFORMANT SIGNALS |
| title_full_unstemmed | NOISE FEATURES OF BREATH AND HEARTBEAT INFORMANT SIGNALS |
| title_short | NOISE FEATURES OF BREATH AND HEARTBEAT INFORMANT SIGNALS |
| title_sort | noise features of breath and heartbeat informant signals |
| topic | polynomial model flicker noise algorithm probe signals low-frequency noise doppler-shifted signal coherent search-and-rescue radar opaque obstacles |
| url | http://rpra-journal.org.ua/index.php/ra/article/view/1402/pdf |
| work_keys_str_mv | AT ovsytnik noisefeaturesofbreathandheartbeatinformantsignals |