Results 221 to 230 of about 235,258 (299)
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Multipath exploitation for radar target classification
2012 IEEE Radar Conference, 2012Inclusion of multipath ghost target images, alongside direct target images, is shown to improve performance in radar target classification. When ultra wideband waveforms are employed there is sufficient range resolution that the components of the received signal relating to indirect paths appear as unique peaks. The additional returns result in a point
G. E. Smith, B. G. Mobasseri
openaire +2 more sources
Neural-Network-Based Target Classification and Range Detection by CW MMW Radar
Remote Sensing, 2023 This study presents a reliable classification of walking pedestrians and animals using a radar operating in the millimeter waves (mmW) regime. In addition to the defined targets, additional targets were added in an attempt to fool the radar and to ...
Nezah Balal, Y Pinhasi, Balal Nezah
exaly +2 more sources
Simultaneous Target Classification and Moving Direction Estimation in Millimeter-Wave Radar System
Sensors, 2021 In this study, we propose a method to identify the type of target and simultaneously determine its moving direction in a millimeter-wave radar system. First, using a frequency-modulated continuous wave (FMCW) radar sensor with the center frequency of 62 ...
Seongwook Lee, Lee Seongwook
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Machine Learning-Based Target Classification for MMW Radar in Autonomous Driving
IEEE Transactions on Intelligent Vehicles, 2021Millimeter-wave (MMW) radar sensors are considered key components of autonomous vehicles. Because of the performance degeneration of cameras and lidars under inclement weather conditions, robust autonomy must rely on radar sensors to perform target ...
Xiuzhang Cai, Kamal Sarabandi
exaly +2 more sources
IEEE Sensors Journal, 2023
Micro-Doppler signatures (m-DSs) have been widely employed for the automatic recognition of various radar targets that exhibit micromotions via time–frequency distributions (TFDs).
Beili Ma, K. Egiazarian, Baixiao Chen
semanticscholar +1 more source
Micro-Doppler signatures (m-DSs) have been widely employed for the automatic recognition of various radar targets that exhibit micromotions via time–frequency distributions (TFDs).
Beili Ma, K. Egiazarian, Baixiao Chen
semanticscholar +1 more source
International Conference on Adaptive and Intelligent Systems, 2021
Target recognition and classification are challenging problems in radars. Radars can generate variety of measurements depending on the capabilities of specific radars.
M. Sagayaraj +3 more
semanticscholar +1 more source
Target recognition and classification are challenging problems in radars. Radars can generate variety of measurements depending on the capabilities of specific radars.
M. Sagayaraj +3 more
semanticscholar +1 more source
Deep Learning Based Radar Target Classification Using Micro-Doppler Features
2021 Seventh International Conference on Aerospace Science and Engineering (ICASE), 2021Demand for radar automatic target recognition is ever increasing owing to the extensive employment of radar sensors in urban scenarios and a drastic increase in the number of radar targets, especially drones and UAVs.
Ali Hanif, Muhammad Muaz
semanticscholar +1 more source
Cost-Efficient FMCW Radar for Multi-Target Classification in Security Gate Monitoring
IEEE Sensors Journal, 2021 A prototype of a radar system for classification of multiple targets passing through a road gate is presented in this paper. It allows to identify different types of targets, i.e., pedestrians, motorcycles, cars, and trucks. The developed system is based
Ali Rizik +2 more
exaly +2 more sources
Radar Signal Decomposition in Steering Vector Space for Multi-Target Classification
IEEE Sensors Journal, 2021In automotive frequency-modulated continuous wave radar systems, targets with similar ranges and velocities might be detected as a single target because their target information overlaps on the range-velocity (RV) plane.
Seongmin Hong +2 more
exaly +2 more sources
IEEE Sensors Letters, 2020
Due to the incident angle of synthetic aperture radar electromagnetic wave, the ground target is usually captured with some parts missing in the raw SAR image instead of an area of shadow.
Hongliang Zhu, Rocky Leung, M. Hong
semanticscholar +1 more source
Due to the incident angle of synthetic aperture radar electromagnetic wave, the ground target is usually captured with some parts missing in the raw SAR image instead of an area of shadow.
Hongliang Zhu, Rocky Leung, M. Hong
semanticscholar +1 more source