Results 181 to 190 of about 3,353 (239)

Through-the-Wall Surveillance With Millimeter-Wave LFMCW Radars

IEEE Transactions on Geoscience and Remote Sensing, 2009
1805
Mateo Burgos-Garcia   +2 more
exaly   +3 more sources

Push the Limit of Millimeter-wave Radar Localization

ACM Transactions on Sensor Networks, 2023
Existing device-free localization systems have achieved centimeter-level accuracy and show their potential in a wide range of applications. However, today’s radio-based solutions fail to locate the target in millimeter-level due to their limited bandwidth and sampling rate, which constrains their applications in high-accuracy demand ...
Guidong Zhang   +4 more
openaire   +2 more sources

IoT-Ready Millimeter-Wave Radar Sensors

2020 IEEE Global Conference on Artificial Intelligence and Internet of Things (GCAIoT), 2020
This paper demonstrates a millimeter-wave (mm-Wave) radar sensor chip set for industrial, scientific, medical (ISM) and internet of things (IoT) applications. Thanks to their modular expandable wireless transceiver architecture, these radar chips offer implementing multimode radar sensors capable of deploying multiple radar techniques to detect object ...
Wael A. Ahmad   +3 more
openaire   +2 more sources

Millimeter Waves Ballistic Radar

2006 16th International Crimean Microwave and Telecommunication Technology, 2006
Solid-state Doppler Millimeter Waves Ballistic Radar designed for measuring of exterior and interior ballistic parameters of highly dynamical faint objects is developed. The coherence characteristics of transmit-receive module are supported by the floating heterodyne oscillation behavior.
A. Zubkov   +4 more
openaire   +1 more source

Real-Time Millimeter Wave Radar Simulation

Journal of Aerospace Information Systems, 2013
This paper summarizes the ideas involved in implementing an imaging radar simulator based on using modern computer graphics hardware.
Peinecke, Niklas   +2 more
openaire   +3 more sources

Cardiogram Detection with a Millimeter-wave Radar Sensor

2020 IEEE Radio and Wireless Symposium (RWS), 2020
In this work, we proposed and verified that a noncontact measurement to the human cardiogram could be implemented based on the inner connection between the bioelectrical signals that control the diastole and systole of human hearts and the volume change of atriums and ventricles taking place at the surface of skin.
Shuqin Dong   +5 more
openaire   +1 more source

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