@inproceedings{84e8d5562b284d3ea7affe92efe1a15f,
title = "Background and Clutter Removal Techniques for Ultra Short Range Radar",
abstract = "Living-object-detection (LOD) in hazardous areas can save lifes and is the key feature of safety critical radar sensors. Suppression of bright and static clutter is needed in order to detect weak echoes from potentially moving living objects. We study the classical method of frame differencing (FD) as well as statistical background and clutter removal techniques to maximise the object detection probability. The investigated techniques are evaluated by simulation and qualified in terms of achievable signal-to-clutter ratio (SCR) and computational complexity. Subsequently, the techniques are implemented in a radar prototype and real life measurements are conducted. The prototype consists of a two channel C-band frequency modulated continuous wave (FMCW) quasi-monostatic radar system with closely placed omnidirectional monopole antennas. For the background and clutter removal a new modified method is proposed and qualified. The proposed method provides top SCR levels and outperforms FD by far in terms of efficiency.",
keywords = "background removal, clutter removal, frequency modulated continuous wave (FMCW), radar, ultra short range radar (USRR)",
author = "Ehrnsperger, \{Matthias G.\} and Maximilian Noll and Uwe Siart and Eibert, \{Thomas F.\}",
note = "Publisher Copyright: {\textcopyright} 2021 EuMA.; 17th European Radar Conference, EuRAD 2020 ; Conference date: 13-01-2021 Through 15-01-2021",
year = "2021",
month = jan,
day = "10",
doi = "10.1109/EuRAD48048.2021.00031",
language = "English",
series = "EuRAD 2020 - 2020 17th European Radar Conference",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "78--81",
booktitle = "EuRAD 2020 - 2020 17th European Radar Conference",
}