Experimental Results of High-Resolution ISAR Imaging of Ground-Moving Vehicles with a Stationary FMCW Radar

Kulpa, Janusz S.; Malanowski, Mateusz; Gromek, Damian; Samczyńsk, Piotr; Kulpa, Krzysztof; Gromek, Artur

doi:10.2478/eletel-2013-0035

Cited by 14 publications

(5 citation statements)

References 4 publications

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“…Radar is a possible alternative to optical cameras for vehicle sensing in traffic monitoring, perimeter security, and autonomous driving applications [ 25 , 26 , 27 , 28 , 29 , 30 , 31 , 32 , 33 ]. SAR imaging of stationary ground vehicles from airborne sensors has already been a subject of extensive investigations in the past [ 25 , 26 , 27 , 28 ].…”

Section: Vehicle Imaging and Measurement Setupmentioning

confidence: 99%

“…SAR imaging of stationary ground vehicles from airborne sensors has already been a subject of extensive investigations in the past [ 25 , 26 , 27 , 28 ]. ISAR imaging of moving vehicles from a stationary ground radar has also been realized in the small-angle scenario previously [ 31 , 32 ]. Wide-angle imaging may offer better resolution and richer geometrical features.…”

Section: Vehicle Imaging and Measurement Setupmentioning

confidence: 99%

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Wide-Angle, Ultra-Wideband ISAR Imaging of Vehicles and Drones

Líu

2018

Sensors

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In-situ, wide-angle, and ultra-wideband inverse synthetic aperture radar (ISAR) imaging of vehicles and drones is demonstrated using a portable ultra-wideband radar. In order to form well-focused ISAR images, motion compensation is performed before applying the k-space imaging algorithm. While the same basic motion compensation methodology is applied to both types of targets, a more complex motion model is needed to better capture the flight path of the drone. The resulting ISAR images clearly show the geometrical outline of the targets and highlight locations of prominent backscattering. The ISAR images are also assessed against images generated through instrumented targets or laboratory measurements, and the image quality is shown to be comparable.

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Section: Vehicle Imaging and Measurement Setupmentioning

confidence: 99%

Section: Vehicle Imaging and Measurement Setupmentioning

confidence: 99%

Wide-Angle, Ultra-Wideband ISAR Imaging of Vehicles and Drones

Líu

2018

Sensors

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“…4 one can see the recei ole system before mounting it on verify the system coherency and radar for SAR image creation is R (ISAR) mode [7]. In ISAR stationary, and the target is in signal processing that has to be r image depends on the type of ase where a target rotates around g. 3.…”

Section: Expmentioning

confidence: 99%

The SARENKA SAR system - Experimental results of ISAR imaging

Wielgo

Samczyński

Malanowski

et al. 2014

2014 15th International Radar Symposium (IRS)

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This paper presents the syste processing aspects and measurement results o Synthetic Aperture Radar (SAR) named presented system is a C-band radar develop Warsaw University of Technology. The main was to develop a low-cost, small-size and lowhigh resolution dedicated for small aircrafts unmanned aerial vehicles (UAV). For th SARENKA SAR system using the Frequ Continuous Wave (FMCW) concept was design first field tests of the system were done using on a lake as a target. As a result Inverse SAR the target were obtained. In this paper the pre this experiment are presented and discussed.

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“…The information obtained by the traffic surveillance radar can be uploaded to the intelligent transportation system (ITS) to help the driver choose a smooth road, thereby saving driving time. The FMCW radar has been applied in low-small-slow target detection, 1,2 car collision avoidance, 3,4 traffic monitoring, 5 high-precision measurement, 6 and imaging 7 owing to the advantages of small size, low cost, high resolution, no distance blind zone. Target parameters, such as range, velocity, direction-of-arrival (DOA), and so forth, can be measured by radar in real-time.…”

Section: Introductionmentioning

confidence: 99%

Parameter measurements of moving targets using a 24‐GHz radar

Yan

2021

Int J RF Microw Comput Aided Eng

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We designed a 24-GHz traffic surveillance radar (TSR-24) to monitor automobile and pedestrian. The range, radial velocity and direction-of-arrival (DOA) of the moving targets can be measured by the radar in real-time. The radar consists of a radar sensor, a waveform generation module, a filter and amplifier module and a digital signal processor (DSP) platform. The radar can be configured to work in Doppler mode or frequency modulated continuous wave (FMCW) mode through software configuration. The phase-monopulse approach is used for the target DOA estimation. A DOA error reduction method and the Rife method are proposed to improve the range and DOA accuracy. The parameter estimation algorithms are implemented in DSP. The radar is used to detect and track motorcycles, cars, trucks and even pedestrians. The measurement of an electric vehicle shows that the velocity error is 0.022 m/s. Various tests indicate that the range and DOA error is no more than 0.25 m and 1 , respectively.

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Experimental Results of High-Resolution ISAR Imaging of Ground-Moving Vehicles with a Stationary FMCW Radar

Cited by 14 publications

References 4 publications

Wide-Angle, Ultra-Wideband ISAR Imaging of Vehicles and Drones

Wide-Angle, Ultra-Wideband ISAR Imaging of Vehicles and Drones

The SARENKA SAR system - Experimental results of ISAR imaging

Parameter measurements of moving targets using a 24‐GHz radar

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