Ash, M;
Ritchie, M;
Chetty, K;
(2018)
On the Application of Digital Moving Target Indication Techniques to Short-Range FMCW Radar Data.
IEEE Sensors Journal
, 18
(10)
pp. 4167-4175.
10.1109/JSEN.2018.2823588.
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Abstract
In this paper, we describe three digital moving target indication (MTI) and moving target segmentation techniques (based on target speed) and apply them to short-range frequency-modulated continuous wave (FMCW) radar data. The described approaches are applicable to many short-range radar sensors. In particular, we focus on FMCW radar, which are ubiquitous in numerous applications, including gesture recognition radar, automotive radar, and imaging radar. The three digital MTI filtering methods explored are background subtraction, finite impulse response (FIR) filtering, and infinite impulse response (IIR) filtering. Each of the methods is implemented in the time domain for simpler logic implementation. We apply the MTI methods on data sets gathered using a C-band FMCW radar in both a short-range, direct line-of-sight scenario and a complex cluttered through wall radar scenario. Based on the analyses, it is shown that each of the MTI techniques are extremely effective when deployed in the right scenario. Background subtraction is found to be well suited for slow-moving targets. FIR and IIR filtering techniques provide the simplest, one-step processes for moving target segmentation.
Type: | Article |
---|---|
Title: | On the Application of Digital Moving Target Indication Techniques to Short-Range FMCW Radar Data |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1109/JSEN.2018.2823588 |
Publisher version: | https://doi.org/10.1109/JSEN.2018.2823588 |
Language: | English |
Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
Keywords: | Chirp, Radar imaging, Clutter, Finite impulse response filters, Sensors, FMCW radar, moving target indication, digital filters, FIR filters, IIR filters |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Security and Crime Science |
URI: | https://discovery.ucl.ac.uk/id/eprint/10046119 |




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