Evaluation of different super-resolution techniques for automotive applications

Fischer, Christoph; Ruf, Florian; Bloecher, Hans-Ludwig; Dickmann, Jürgen; Menze, W.

doi:10.1049/cp.2012.1641

Cited by 9 publications

(4 citation statements)

References 0 publications

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“…A widely used method is the application of multiple-input multiple-output (MIMO) radars, where a comparably large virtual aperture is formed by the spatial convolution of the smaller transmitting and receiving apertures [6], [7]. Other concepts envisage the use of superresolution algorithms in the signal processing domain [8], [9].…”

Section: Introductionmentioning

confidence: 99%

N-Element Biomimetic Antenna Arrays

Gruner¹,

Dorsch²,

Waldschmidt³

2021

IEEE Trans. Antennas Propagat.

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Section: Introductionmentioning

confidence: 99%

N-Element Biomimetic Antenna Arrays

Gruner¹,

Dorsch²,

Waldschmidt³

2021

IEEE Trans. Antennas Propagat.

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“…In order to meet automotive cost targets, a compromise between HW architecture and the use of high resolution algorithms has to be found. First results in that field can be found in [20,21].…”

Section: )mentioning

confidence: 99%

"Present research activities and future requirements on automotive radar from a car manufacturer´s point of view"

Dickmann

Klappstein

Hahn

et al. 2015

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

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Automotive Radar has already found its way into nearly all car manufacturers portfolio, even for small car platforms. Over the decades, the performance requirements increased steadily from simple detector tasks in blind spot monitoring systems to multi range smart environment perception sensors. The utmost push in performance requirement is initiated with the trend towards highly automated driving. Future automotive radar systems have to provide imaging like capabilities and have to interact in radar networks, which allow for highly comprehensive perception tasks. The paper will provide an overview on state of the art automotive radar usage on the basis of the DAIMLER car platforms, will give an outline on future requirements for highly automated driving and will present recent approaches in radar based environmental perception.

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“…[11] suggest an extremely flexible radar architecture for FMCW MIMO radars with the option of frequency division multiplexing for different channels. Different super resolution algorithms for imaging have been evaluated for the application of automotive radar in [12,13]. It is first shown that the angular resolution can be distinctly increases by ROOT-MUSIC, ESPRIT, or similar approaches in automotive scenarios, but at the cost of high computational complexity.…”

Section: A Imaging and Mimo Radarmentioning

confidence: 99%