Combining Physical Optics and Method of Equivalent Currents to Create Unique Near-Field Propagation and Scattering Technique for Automotive Radar Applications

Skidmore, Gregory; Chawla, Tarun; Bedrosian, G.

doi:10.1109/comcas44984.2019.8958220

Cited by 6 publications

(3 citation statements)

References 2 publications

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“…From there the field intensity decreases by the cosine of the angle s θ . The resulting field can be computed by the Equations ( 6) and (7). These are adapted and modified from [11].…”

Section: Diffuse Reflection Modelmentioning

confidence: 99%

See 1 more Smart Citation

Methodical Approach to the Development of a Radar Sensor Model for the Detection of Urban Traffic Participants Using a Virtual Reality Engine

Degen¹,

Ott²,

Overath³

et al. 2021

JTTs

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New approaches for testing of autonomous driving functions are using Virtual Reality (VR) to analyze the behavior of automated vehicles in various scenarios. The real time simulation of the environment sensors is still a challenge. In this paper, the conception, development and validation of an automotive radar raw data sensor model is shown. For the implementation, the Unreal VR engine developed by Epic Games is used. The model consists of a sending antenna, a propagation and a receiving antenna model. The microwave field propagation is simulated by a raytracing approach. It uses the method of shooting and bouncing rays to cover the field. A diffused scattering model is implemented to simulate the influence of rough structures on the reflection of rays. To parameterize the model, simple reflectors are used. The validation is done by a comparison of the measured radar patterns of pedestrians and cyclists with simulated values. The outcome is that the developed model shows valid results, even if it still has deficits in the context of performance. It shows that the bouncing of diffuse scattered field can only be done once. This produces inadequacies in some scenarios. In summary, the paper shows a high potential for real time simulation of radar sensors by using ray tracing in a virtual reality.

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“…From there the field intensity decreases by the cosine of the angle s θ . The resulting field can be computed by the Equations ( 6) and (7). These are adapted and modified from [11].…”

Section: Diffuse Reflection Modelmentioning

confidence: 99%

“…However, simple algorithms are used, that do not sufficiently simulate the microwaves of the radar. Compared to this, more complex approaches like [6] [7] [8] [9] and [10] are using realistic sending, reflection and receiving models to accurately simulate the radar. But these models do not aim to do the simulation in real-time.…”

Section: Introductionmentioning

confidence: 99%

Methodical Approach to the Development of a Radar Sensor Model for the Detection of Urban Traffic Participants Using a Virtual Reality Engine

Degen¹,

Ott²,

Overath³

et al. 2021

JTTs

View full text Add to dashboard Cite

show abstract

“…The test of the automotive radar requires considerable funds and resources, and so the M&S method is more beneficial, safer, and cheaper than real experiments [2,3]. Commercial software (SW) is available for this kind of simula-tion [4][5][6], but due to the complexity of the problem, a relatively simple technique, such as geometrical optics (GO), is used to calculate the radar echo signal from adjacent objects around the radar.…”

Section: Introductionmentioning

confidence: 99%

Efficient Algorithm to Calculate a Time-Domain Echo Signal from Moving Targets Based on Physical Optics and the Application to an Autonomous Driving Simulation

Choi

Koh

2021

J Electromagn Eng Sci

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An automotive radar simulator is proposed that can consider a dynamic driving scenario. The impulse response is computed based on the distance between the radar and the mesh position and the radar equation. The first-order physical optics technique is used to calculate the backscattering by the meshes, which can efficiently consider the shape of the target; however, because the radar operating frequency is very high, the required amount of mesh for discretization is large. Hence, the calculation of the time-domain echo signal requires considerable computational time. To reduce this numerical complexity, a new scheme is proposed to accurately approximate the time-domain baseband signal generated by the large number of meshes. The radar adopts the frequency modulated continuous waveform. Range-Doppler processing is used to estimate the range and relative velocity of the targets based on which simulation results are numerically verified for a driving scenario.

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SHENRON - Scalable, High Fidelity and EfficieNt Radar SimulatiON

Bansal,

Reddy,

Bharadia

2024

IEEE Robot. Autom. Lett.

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Combining Physical Optics and Method of Equivalent Currents to Create Unique Near-Field Propagation and Scattering Technique for Automotive Radar Applications

Cited by 6 publications

References 2 publications

Methodical Approach to the Development of a Radar Sensor Model for the Detection of Urban Traffic Participants Using a Virtual Reality Engine

Methodical Approach to the Development of a Radar Sensor Model for the Detection of Urban Traffic Participants Using a Virtual Reality Engine

Efficient Algorithm to Calculate a Time-Domain Echo Signal from Moving Targets Based on Physical Optics and the Application to an Autonomous Driving Simulation

SHENRON - Scalable, High Fidelity and EfficieNt Radar SimulatiON

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