ArticleSensors (Basel, Switzerland)2018
Differential Ultra-Wideband Microwave Imaging: Principle Application Challenges.
Article in Sensors (Basel, Switzerland), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 28 citations in OpenAlex.
- A Multi-Input Neural Network for Microwave Hemorrhagic Stroke Identification Using Multimodal Data.Brain sciences · 2026Article
- UWB Antenna with Enhanced Directivity for Applications in Microwave Medical Imaging.Sensors (Basel, Switzerland) · 2024Article
- Microwave Angiography by Ultra-Wideband Sounding: A Preliminary Investigation.Diagnostics (Basel, Switzerland) · 2023Article
- Configurable Pseudo Noise Radar Imaging System Enabling Synchronous MIMO Channel Extension.Sensors (Basel, Switzerland) · 2023Article
- Matrix Pencil Method for Vital Sign Detection from Signals Acquired by Microwave Sensors.Sensors (Basel, Switzerland) · 2021Article
- On Differential Imaging Using Electromagnetic Simulation for Vehicular Antenna Signature Analysis.Sensors (Basel, Switzerland) · 2021Article
- An Octagonal Ring-shaped Parasitic Resonator Based Compact Ultrawideband Antenna for Microwave Imaging Applications.Sensors (Basel, Switzerland) · 2020Article
- Ultra-Wideband Temperature Dependent Dielectric Spectroscopy of Porcine Tissue and Blood in the Microwave Frequency Range.Sensors (Basel, Switzerland) · 2019Article
- A Homogeneous Breast Phantom Measurement System with an Improved Modified Microwave Imaging Antenna Sensor.Sensors (Basel, Switzerland) · 2018Article
Corrections and comments
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Authors and funding
5 authors at 1 institution in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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.
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Registered trials
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