Impact of system parameter selection on radar sensor performance in automotive applications

Bloecher, Hans-Ludwig; Andres, Markus; Fischer, Christoph; Sailer, Alfons; Goppelt, M.; Dickmann, Jürgen

doi:10.5194/ars-10-33-2012

Cited by 13 publications

(4 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The authors of [1] investigated the boundary conditions, which enables the estimation of the contour and thus the orientation of a vehicle using radar sensors. They suggest that a bandwidth larger than 1 GHz and an angular resolution better than 1 • are necessary.…”

Section: A Boundary Conditions For Radar Sensors and Velocity Vectormentioning

confidence: 99%

Estimation of the orientation of vehicles in high-resolution radar images

Roos¹,

Kellner²,

Klappstein³

et al. 2015

2015 IEEE MTT-S International Conference on Microwaves for Intelligent Mobility (ICMIM)

View full text Add to dashboard Cite

The availability of high-resolution image radars allows estimating the orientation of vehicles from a single measurement without temporal filtering. This gives the opportunity to react even faster to certain critical traffic scenes. This paper presents an approach for estimating the orientation of a vehicle. The orientated bounding box algorithm known from literature is adapted to this end and a quality function is introduced to choose the optimal bounding box. In addition, a brute-force approach for determining the best possible outcome is presented.

show abstract

Section: A Boundary Conditions For Radar Sensors and Velocity Vectormentioning

confidence: 99%

Estimation of the orientation of vehicles in high-resolution radar images

Roos¹,

Kellner²,

Klappstein³

et al. 2015

2015 IEEE MTT-S International Conference on Microwaves for Intelligent Mobility (ICMIM)

View full text Add to dashboard Cite

show abstract

“…Simulation of radio wave propagation through the radome provides knowledge of the latter’s precise influence on the system accuracy and performances. Thus, an important issue concerns the effect of bumpers on the radar performances, topic that attracted great interest [ 12 , 13 , 14 , 15 , 16 , 17 ]. In the just referred works the coupling radar-radome effects (e.g., attenuation, signal pollution, …) was investigated but a parametric numerical modeling was not considered.…”

Section: Introductionmentioning

confidence: 99%

Parametric Electromagnetic Analysis of Radar-Based Advanced Driver Assistant Systems

Vermiglio

Champaney

Sancarlos

et al. 2020

Sensors

View full text Add to dashboard Cite

Efficient and optimal design of radar-based Advanced Driver Assistant Systems (ADAS) needs the evaluation of many different electromagnetic solutions for evaluating the impact of the radome on the electromagnetic wave propagation. Because of the very high frequency at which these devices operate, with the associated extremely small wavelength, very fine meshes are needed to accurately discretize the electromagnetic equations. Thus, the computational cost of each numerical solution for a given choice of the design or operation parameters, is high (CPU time consuming and needing significant computational resources) compromising the efficiency of standard optimization algorithms. In order to alleviate the just referred difficulties the present paper proposes an approach based on the use of reduced order modeling, in particular the construction of a parametric solution by employing a non-intrusive formulation of the Proper Generalized Decomposition, combined with a powerful phase-angle unwrapping strategy for accurately addressing the electric and magnetic fields interpolation, contributing to improve the design, the calibration and the operational use of those systems.

show abstract

“…For a linear frequency modulated continuous wave modulation, also called chirp-sequence, this means a bandwidth larger than 1 GHz [2], and several consecutive frequency ramps are evaluated by different receiving antenna elements. Usually, each receiving antenna element has its own analog-to-digital converter (ADC) as shown in Fig.…”

Section: Introductionmentioning

confidence: 99%

Data rate reduction for chirp-sequence based automotive radars using compressed sensing

Roos¹,

Hügler²,

Knill³

et al. 2018

2018 11th German Microwave Conference (GeMiC)

View full text Add to dashboard Cite

Abstract-For autonomous driving high-resolution radar sensors are key components, which have the drawback of high data rates. In order to reduce the amount of sampled data, random samples can be omitted and afterwards reconstructed using compressed sensing methods. A possible application is that not every receiving antenna element demands its own analog-todigital converter. One converter can be used for several receiving elements with a random assignment to each antenna instead. In this paper, an analysis is presented of how many samples can be neglected such that a successful reconstruction in post-processing for an automotive scenario is possible. A measurement result is shown to prove that with only 40 % of samples a successful reconstruction is possible.

show abstract

Impact of system parameter selection on radar sensor performance in automotive applications

Cited by 13 publications

References 4 publications

Estimation of the orientation of vehicles in high-resolution radar images

Estimation of the orientation of vehicles in high-resolution radar images

Parametric Electromagnetic Analysis of Radar-Based Advanced Driver Assistant Systems

Data rate reduction for chirp-sequence based automotive radars using compressed sensing

Contact Info

Product

Resources

About