Numerical study of pedestrian RCS at 76&amp;#x2013;77 GHz

Chen, Ming; Kuloglu, Mustafa; Chen, Chi‐Chih

doi:10.1109/aps.2013.6711649

Cited by 6 publications

(7 citation statements)

References 2 publications

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“…A few studies regarding three-dimensional (3D) complex target modeling in terms of simple and multiple reflection and edge diffraction in the W band can be found [5]- [6]. Indeed, simulation of radar signatures is a challenging task, due to the lack of available high-fidelity electromagnetic models of complex objects such as vehicles.…”

Section: Introductionmentioning

confidence: 99%

RCS modeling and measurements for automotive radar applications in the W band

Kamel

Peden

Pajusco

2017

2017 11th European Conference on Antennas and Propagation (EUCAP)

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This paper describes a reliable methodology for radar cross section (RCS) measurement of complex small and large targets in the W band. The backscattering behavior of a small car model was measured in an anechoic chamber along with various automotive related targets in a wide gymnasium. Experimental performance in the anechoic chamber is compared to the simulation results. Our simulation model is based on deterministic scattering centers, determined by high frequency approaches, like the physical optics (PO) and the physical theory of diffraction (PTD). Nevertheless, simulations of realistic large objects are both time consuming and difficult to implement. The proposed measurement configuration enables the extraction of non-predetermined scattering points for large object modeling which will significantly decrease the simulation time for road scenarios in radar applications.

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Section: Introductionmentioning

confidence: 99%

RCS modeling and measurements for automotive radar applications in the W band

Kamel

Peden

Pajusco

2017

2017 11th European Conference on Antennas and Propagation (EUCAP)

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“…Many phantoms have been developed with different geometries, number of tissues, dielectric properties, and voxel precision [25][26][27][28]. Chen et al [32] performed a numerical RCS analysis at 76-77 GHz of a pedestrian modelled by using the software Pozer 9. A correction for the overlapped meshes has been carried out to improve the simulation speed of the EM software FEKO TM .…”

Section: Introductionmentioning

confidence: 99%

“…Furthermore, the meshes, discretizing the exterior shell of the body, are built, either automatically by the EM simulators [16,17] or by using an external software package [31]. These represent relevant constraints for the radar designer who is limited in reaching the best trade-off between required computational resources and EM code accuracy [32,33].…”

Section: Introductionmentioning

confidence: 99%

Efficient Simulation Tool to Characterize the Radar Cross Section of a Pedestrian in Near Field

Manfredi¹,

Russo²,

Leo³

et al. 2020

PIER C

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A simulation tool to characterize the radar cross section of a pedestrian in near field is presented in the paper. The tool has been developed in order to predict and optimize the performance of the short-range radar systems employed in autonomous vehicle operations. It is based on an analytical model which joins the modeling of the human body with the theory of the physical optics. Our studies first focused on the implementation of the electromagnetic code where the human body, the radiation properties of the antenna, and the scenario to be analyzed have been analytically expressed. Then, the proposed model has been validated in terms of accuracy comparing simulated, theoretical, and experimental data regarding the radar cross section of metal and lossy spheres and of an adult, in the frequency range 23-28 GHz. In the end, an evaluation of the performance in terms of required computer memory and execution time has been carried out, comparing the proposed simulation tool with other numerical computational methods.

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“…To classify targets based on RCS values with a 77‐GHz FMCW radar, we first estimate those of the targets. Some research has been conducted to measure the RCS values of pedestrians and vehicles in the 76–81 GHz band [9–16]. However, the RCS measurements in [9–15] were conducted without using FMCW radar signals.…”

Section: Introductionmentioning

confidence: 99%

“…Some research has been conducted to measure the RCS values of pedestrians and vehicles in the 76–81 GHz band [9–16]. However, the RCS measurements in [9–15] were conducted without using FMCW radar signals. Although the RCS measurement for pedestrians using a 76‐GHz FMCW signal was given in [16], the measurement method for the RCS was not directly addressed, and the RCS was simply replaced by the radio wave reflection intensity.…”

Section: Introductionmentioning

confidence: 99%