Please use this identifier to cite or link to this item: http://localhost/handle/Hannan/235663
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dc.contributor.authorLei Qiuen_US
dc.contributor.authorTian Jinen_US
dc.contributor.authorBiying Luen_US
dc.contributor.authorZhimin Zhouen_US
dc.date.accessioned2013en_US
dc.date.accessioned2020-04-06T08:48:51Z-
dc.date.available2020-04-06T08:48:51Z-
dc.date.issued2017en_US
dc.identifier.other10.1109/LGRS.2016.2633622en_US
dc.identifier.urihttp://localhost/handle/Hannan/235663-
dc.description.abstractIn this letter, we propose an isophase-based method for human life signal extraction using a stepped-frequency continuous-wave through-the-wall radar. Isophase is the line connected by points of the same phase value in the slow time range map and is a key feature to distinguish a stationary human from mechanical vibrating targets. First, the isophase is introduced and associated linearly with human life signal, and the linear coefficient is greater than 1. Then the limitation of the isophase is discussed. Finally, the isophase is extracted by the edge detection method. The isophase expands the micromotion range and therefore robust to noise. Due to the sudden change from &x03BB; to -&x03BB;, the isophase can remove outliers effectively. The simulation results verify its advantages over the amplitude peak locus. The experiments done with a stationary human and a rotating fan behind a wall show that the proposed method can extract human life signal effectively and precisely.en_US
dc.format.extent193,en_US
dc.format.extent197en_US
dc.publisherIEEEen_US
dc.relation.haspart7781650.pdfen_US
dc.titleAn Isophase-Based Life Signal Extraction in Through-the-Wall Radaren_US
dc.typeArticleen_US
dc.journal.volume14en_US
dc.journal.issue2en_US
Appears in Collections:2017

Files in This Item:
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7781650.pdf746.35 kBAdobe PDF
Full metadata record
DC FieldValueLanguage
dc.contributor.authorLei Qiuen_US
dc.contributor.authorTian Jinen_US
dc.contributor.authorBiying Luen_US
dc.contributor.authorZhimin Zhouen_US
dc.date.accessioned2013en_US
dc.date.accessioned2020-04-06T08:48:51Z-
dc.date.available2020-04-06T08:48:51Z-
dc.date.issued2017en_US
dc.identifier.other10.1109/LGRS.2016.2633622en_US
dc.identifier.urihttp://localhost/handle/Hannan/235663-
dc.description.abstractIn this letter, we propose an isophase-based method for human life signal extraction using a stepped-frequency continuous-wave through-the-wall radar. Isophase is the line connected by points of the same phase value in the slow time range map and is a key feature to distinguish a stationary human from mechanical vibrating targets. First, the isophase is introduced and associated linearly with human life signal, and the linear coefficient is greater than 1. Then the limitation of the isophase is discussed. Finally, the isophase is extracted by the edge detection method. The isophase expands the micromotion range and therefore robust to noise. Due to the sudden change from &x03BB; to -&x03BB;, the isophase can remove outliers effectively. The simulation results verify its advantages over the amplitude peak locus. The experiments done with a stationary human and a rotating fan behind a wall show that the proposed method can extract human life signal effectively and precisely.en_US
dc.format.extent193,en_US
dc.format.extent197en_US
dc.publisherIEEEen_US
dc.relation.haspart7781650.pdfen_US
dc.titleAn Isophase-Based Life Signal Extraction in Through-the-Wall Radaren_US
dc.typeArticleen_US
dc.journal.volume14en_US
dc.journal.issue2en_US
Appears in Collections:2017

Files in This Item:
File SizeFormat 
7781650.pdf746.35 kBAdobe PDF
Full metadata record
DC FieldValueLanguage
dc.contributor.authorLei Qiuen_US
dc.contributor.authorTian Jinen_US
dc.contributor.authorBiying Luen_US
dc.contributor.authorZhimin Zhouen_US
dc.date.accessioned2013en_US
dc.date.accessioned2020-04-06T08:48:51Z-
dc.date.available2020-04-06T08:48:51Z-
dc.date.issued2017en_US
dc.identifier.other10.1109/LGRS.2016.2633622en_US
dc.identifier.urihttp://localhost/handle/Hannan/235663-
dc.description.abstractIn this letter, we propose an isophase-based method for human life signal extraction using a stepped-frequency continuous-wave through-the-wall radar. Isophase is the line connected by points of the same phase value in the slow time range map and is a key feature to distinguish a stationary human from mechanical vibrating targets. First, the isophase is introduced and associated linearly with human life signal, and the linear coefficient is greater than 1. Then the limitation of the isophase is discussed. Finally, the isophase is extracted by the edge detection method. The isophase expands the micromotion range and therefore robust to noise. Due to the sudden change from &x03BB; to -&x03BB;, the isophase can remove outliers effectively. The simulation results verify its advantages over the amplitude peak locus. The experiments done with a stationary human and a rotating fan behind a wall show that the proposed method can extract human life signal effectively and precisely.en_US
dc.format.extent193,en_US
dc.format.extent197en_US
dc.publisherIEEEen_US
dc.relation.haspart7781650.pdfen_US
dc.titleAn Isophase-Based Life Signal Extraction in Through-the-Wall Radaren_US
dc.typeArticleen_US
dc.journal.volume14en_US
dc.journal.issue2en_US
Appears in Collections:2017

Files in This Item:
File SizeFormat 
7781650.pdf746.35 kBAdobe PDF