Fundamentals of Tomography and Radar

Griffiths, Hugh; Baker, Chris

doi:10.1007/1-4020-4295-7_08

Cited by 24 publications

(11 citation statements)

References 12 publications

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“…One such imaging technique is tomography 4 . While prominently found in the medical and industrial scanning areas, tomography has more recently found applications in radar systems.…”

Section: Introductionmentioning

confidence: 99%

Ultra-wideband noise radar imaging of cylindrical PEC objects using diffraction tomography

2014

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In this paper, we show that a single transmission of a random noise waveform may not sufficient to obtain a successful tomographic image of an object. In order to overcome this shortcoming, multiple independent and identically distributed (iid) random noise waveforms over a frequency range from 8 to 10 GHz are transmitted to reconstruct the final image of various objects. Diffraction tomography theorem is applied for each noise waveform transmission so that the image of the multiple objects is reconstructed based on the backward scattered field at the end of each noise waveform transmission realization. After all iid noise waveforms are transmitted, the final tomographic image of the target is reconstructed by averaging all obtained images from multiple transmissions. Several numerical simulations in the spatial frequency domain are performed, and the successful tomographic image of the multiple cylindrical PEC objects is achieved after transmission of multiple iid ultra-wideband (UWB) random noise waveforms.

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“…One such imaging technique is tomography 4 . While prominently found in the medical and industrial scanning areas, tomography has more recently found applications in radar systems.…”

Section: Introductionmentioning

confidence: 99%

Ultra-wideband noise radar imaging of cylindrical PEC objects using diffraction tomography

2014

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“…Linking multiple radars is knowing as bistatic/multistatic radar mode where the transmitter and the receiver in separate locations (Almutiry et al, 2017;Griffiths and Baker, 2006;Monte et al, 2010b;Wicks, 2007). By multistatic radar mode, the radar application exceeded some of its physical limitations.…”

Section: Introduction *Thementioning

confidence: 99%

Internet of radar things for cognitive robotics

Almutiry¹

2021

Int. j. adv. appl. sci.

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Adapting Radar into industry become popular due to the enhancement of computational and communication systems. Industry 4.0 opens the door to use 5G connection to provide effective communication between things in the industry-the concept of combining industry 4.0 and radar sensors to exceed the conventional radar application. The idea of this paper is to propose a novel scheme to connect radar into one network to be an internet of radar Things (IoRT). In this scheme, we will allow radars to communicate as one sensor that processes the data sequentially to support the right decision to be made by robotics, especially when the radar sensor is mounted in robotics. Experimental data are presented to validate the process.

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“…In order to overcome these inherent shortcomings of traditional monostatic ISAR and improve radar imaging performance, the distributed ISAR such as multiple‐input‐multiple‐output (MIMO)‐ISAR [5–9], bistatic ISAR [10–12] and multistatic ISAR [13–17] has attracted extensive research in recent years. The distributed ISAR can be divided into two categories: one is signal‐level coherent fusion distributed ISAR and the other is image‐level incoherent fusion distributed ISAR.…”

Section: Introductionmentioning

confidence: 99%