Differential Ultra-Wideband Microwave Imaging: Principle Application Challenges
Wideband microwave imaging is of interest wherever optical opaque scenarios need to be analyzed, as these waves can penetrate biological tissues, many building materials, or industrial materials. One of the challenges of microwave imaging is the computation of the image from the measurement data bec...
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| Format: | Article |
| Language: | English |
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MDPI AG
2018-07-01
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| Series: | Sensors |
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| Online Access: | http://www.mdpi.com/1424-8220/18/7/2136 |
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| author | Jürgen Sachs Sebastian Ley Thomas Just Somayyeh Chamaani Marko Helbig |
| author_facet | Jürgen Sachs Sebastian Ley Thomas Just Somayyeh Chamaani Marko Helbig |
| author_sort | Jürgen Sachs |
| collection | DOAJ |
| description | Wideband microwave imaging is of interest wherever optical opaque scenarios need to be analyzed, as these waves can penetrate biological tissues, many building materials, or industrial materials. One of the challenges of microwave imaging is the computation of the image from the measurement data because of the need to solve extensive inverse scattering problems due to the sometimes complicated wave propagation. The inversion problem simplifies if only spatially limited objects—point objects, in the simplest case—with temporally variable scattering properties are of interest. Differential imaging uses this time variance by observing the scenario under test over a certain time interval. Such problems exist in medical diagnostics, in the search for surviving earthquake victims, monitoring of the vitality of persons, detection of wood pests, control of industrial processes, and much more. This paper gives an overview of imaging methods for point-like targets and discusses the impact of target variations onto the radar data. Because the target variations are very weak in many applications, a major issue of differential imaging concerns the suppression of random effects by appropriate data processing and concepts of radar hardware. The paper introduces related methods and approaches, and some applications illustrate their performance. |
| first_indexed | 2024-04-14T05:21:53Z |
| format | Article |
| id | doaj.art-b978cc7683a247bc948d89562a14f945 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-14T05:21:53Z |
| publishDate | 2018-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-b978cc7683a247bc948d89562a14f9452022-12-22T02:10:09ZengMDPI AGSensors1424-82202018-07-01187213610.3390/s18072136s18072136Differential Ultra-Wideband Microwave Imaging: Principle Application ChallengesJürgen Sachs0Sebastian Ley1Thomas Just2Somayyeh Chamaani3Marko Helbig4Electronic Measurements and Signal Processing Group, Technische Universität Ilmenau, 98693 Ilmenau, GermanyBiosignal Processing Group, Technische Universität Ilmenau, 98693 Ilmenau, GermanyElectronic Measurements and Signal Processing Group, Technische Universität Ilmenau, 98693 Ilmenau, GermanyElectronic Measurements and Signal Processing Group, Technische Universität Ilmenau, 98693 Ilmenau, GermanyBiosignal Processing Group, Technische Universität Ilmenau, 98693 Ilmenau, GermanyWideband microwave imaging is of interest wherever optical opaque scenarios need to be analyzed, as these waves can penetrate biological tissues, many building materials, or industrial materials. One of the challenges of microwave imaging is the computation of the image from the measurement data because of the need to solve extensive inverse scattering problems due to the sometimes complicated wave propagation. The inversion problem simplifies if only spatially limited objects—point objects, in the simplest case—with temporally variable scattering properties are of interest. Differential imaging uses this time variance by observing the scenario under test over a certain time interval. Such problems exist in medical diagnostics, in the search for surviving earthquake victims, monitoring of the vitality of persons, detection of wood pests, control of industrial processes, and much more. This paper gives an overview of imaging methods for point-like targets and discusses the impact of target variations onto the radar data. Because the target variations are very weak in many applications, a major issue of differential imaging concerns the suppression of random effects by appropriate data processing and concepts of radar hardware. The paper introduces related methods and approaches, and some applications illustrate their performance.http://www.mdpi.com/1424-8220/18/7/2136microwave imagingmedical imagingvital data capturingultra-widebandtarget localizationM-sequencepulse radarthrough-wall radarwooden pest detection |
| spellingShingle | Jürgen Sachs Sebastian Ley Thomas Just Somayyeh Chamaani Marko Helbig Differential Ultra-Wideband Microwave Imaging: Principle Application Challenges Sensors microwave imaging medical imaging vital data capturing ultra-wideband target localization M-sequence pulse radar through-wall radar wooden pest detection |
| title | Differential Ultra-Wideband Microwave Imaging: Principle Application Challenges |
| title_full | Differential Ultra-Wideband Microwave Imaging: Principle Application Challenges |
| title_fullStr | Differential Ultra-Wideband Microwave Imaging: Principle Application Challenges |
| title_full_unstemmed | Differential Ultra-Wideband Microwave Imaging: Principle Application Challenges |
| title_short | Differential Ultra-Wideband Microwave Imaging: Principle Application Challenges |
| title_sort | differential ultra wideband microwave imaging principle application challenges |
| topic | microwave imaging medical imaging vital data capturing ultra-wideband target localization M-sequence pulse radar through-wall radar wooden pest detection |
| url | http://www.mdpi.com/1424-8220/18/7/2136 |
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