Proceedings Article10.1109/UWBUSIS.2018.8520164
Adaptive Clutter Suppression Algorithm for Detection and Positioning using IR-UWB Radar
Sungwon Yoo,Sungmoon Chung,Dong-Min Seol,Sung Ho Cho +3 more
- 01 Nov 2018
- pp 40-43
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TL;DR: A novel clutter suppression method based on impulse radio ultra-wideband (IR-UWB) radar system that can effectively remove clutter signal not only from static objects but also from multipath effects between humans and objects is proposed.
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Abstract: In this paper, we propose a novel clutter suppression method based on impulse radio ultra-wideband (IR-UWB) radar system. Unlike conventional moving target indicator (MTI) algorithms, our proposed algorithm can effectively remove clutter signal not only from static objects but also from multipath effects between humans and objects. It can be accomplished by changing the application ratio of clutter suppression algorithm according to the circumstance of radar coverage. It results higher peak to average power ratio (PAPR) and signal to clutter ratio (SCR), so other post-processing likes detection or positioning operates more stable. We evaluate this algorithm's performance by comparing conventional algorithm through some experimental results.
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Citations
Robust Detection of Presence of Individuals in an Indoor Environment Using IR-UWB Radar
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TL;DR: An Ultra-Wideband (UWB) Impulse Radar is used to detect the heartbeat rate of a person through a wall and the instantaneous heartbeat frequency from the radar has been validated by measuring the frequency of heartbeat from a pulse sensor simultaneously.
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- 28 Aug 2023
TL;DR: The incapability of the current gesture recognition technologies in complex practical scenes and their real-time performance for future development is discussed.
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Entropy-Based Ultra-Wide Band Radar Signals Segmentation for Multi Obstacle Detection
Amira Mimouna,Anouar Ben Khalifa,Ihsen Alouani,Najoua Essoukri Ben Amara,Atika Rivenq,Abdelmalik Taleb-Ahmed +5 more
TL;DR: In this paper, the authors proposed a segmentation approach to detect ROIs in an environment perception-dedicated UWB radar using differential entropy analysis to localize relevant regions of interest (ROIs) within its signals.
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Liang Haotai,Zhaocheng Yang,Shi Fengyuan,Yang Ruimin +3 more
- 13 Nov 2020
TL;DR: In this article, a feature-based support vector machines (SVM) vehicles classification approach using low power consumption radar is proposed, which exploits the energy and width features, which show different characteristics in two types of vehicles.
5
References
Radar CFAR Thresholding in Clutter and Multiple Target Situations
TL;DR: A CFAR method is discussed using as the CFAR threshold one single value selected from the so-called ordered statistic, which has some advantages over cell averaging CFAR, especially in cases where more than one target is present within the reference window on which estimation of the local clutter situation is based.
1.3K
The ultra-wide bandwidth indoor channel: from statistical model to simulations
TL;DR: A statistical model for the ultra-wide bandwidth (UWB) indoor channel is established based on an extensive measurement campaign in a typical modern office building with 2-ns delay resolution and it is found that the correlation between multipath components is negligible.
Through-Wall Detection of Human Being's Movement by UWB Radar
TL;DR: This letter applies the UWB radar system in through-wall human detection and presents the methods based on fast Fourier transform and S transform to detect and identify the human's life characteristic.
265
People Counting Based on an IR-UWB Radar Sensor
TL;DR: Since the proposed algorithm does not detect individual clusters for each person but based on the overall cluster behavior of the signals according to the number of people, it enables people counting even in a dense multipath environment, such as a metal-rich environment.
145
Bi-Directional Passing People Counting System Based on IR-UWB Radar Sensors
TL;DR: Two IR-UWB radar sensors equipped with antennas which have narrow beam width to form two invisible electronic layers in the path are used for sensing and direction recognition of multiple people passing by to get counting results with errors less than 10%.
107
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