Reducing Hardware Requirements and Computational Effort for Automotive OFDM Radar Systems

Oliver Lang; Alexander Onic; Christian Schmid; Reinhard Feger; Mario Huemer

doi:10.1109/IEEECONF51394.2020.9457544

Reducing Hardware Requirements and Computational Effort for Automotive OFDM Radar Systems

Oliver Lang, Alexander Onic, Christian Schmid, Reinhard Feger, Mario Huemer

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

Abstract

The orthogonal frequency-division multiplexing (OFDM) signaling scheme is a promising waveform for future automotive radar systems. However, in its standard implementation, it comes with massive requirements on the hardware required for storing and processing the received OFDM signals. Moreover, one has not full control over the size of the range-Doppler map (RDM). In this work, a novel OFDM receiver signal processing scheme is proposed that impressively reduces the required memory, reduces computational requirements, and gives full control over the size of the RDM. The effects of the proposed receiver processing scheme on the required hardware and the signal-to-noise ratio are discussed.

Original language	English
Title of host publication	Proceedings of the Asilomar Conference on Signals, Systems, and Computers (ACSSC 2020)
Publisher	IEEE
Number of pages	5
ISBN (Print)	978-0-7381-3126-9
DOIs	https://doi.org/10.1109/IEEECONF51394.2020.9457544
Publication status	Published - Nov 2020

Fields of science

202036 Sensor systems
202 Electrical Engineering, Electronics, Information Engineering
202015 Electronics
202023 Integrated circuits
202028 Microelectronics
202037 Signal processing

JKU Focus areas

Digital Transformation

Access to Document

10.1109/IEEECONF51394.2020.9457544

Cite this

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title = "Reducing Hardware Requirements and Computational Effort for Automotive OFDM Radar Systems",

abstract = "The orthogonal frequency-division multiplexing (OFDM) signaling scheme is a promising waveform for future automotive radar systems. However, in its standard implementation, it comes with massive requirements on the hardware required for storing and processing the received OFDM signals. Moreover, one has not full control over the size of the range-Doppler map (RDM). In this work, a novel OFDM receiver signal processing scheme is proposed that impressively reduces the required memory, reduces computational requirements, and gives full control over the size of the RDM. The effects of the proposed receiver processing scheme on the required hardware and the signal-to-noise ratio are discussed.",

author = "Oliver Lang and Alexander Onic and Christian Schmid and Reinhard Feger and Mario Huemer",

year = "2020",

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language = "English",

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T1 - Reducing Hardware Requirements and Computational Effort for Automotive OFDM Radar Systems

AU - Lang, Oliver

AU - Onic, Alexander

AU - Schmid, Christian

AU - Feger, Reinhard

AU - Huemer, Mario

PY - 2020/11

Y1 - 2020/11

N2 - The orthogonal frequency-division multiplexing (OFDM) signaling scheme is a promising waveform for future automotive radar systems. However, in its standard implementation, it comes with massive requirements on the hardware required for storing and processing the received OFDM signals. Moreover, one has not full control over the size of the range-Doppler map (RDM). In this work, a novel OFDM receiver signal processing scheme is proposed that impressively reduces the required memory, reduces computational requirements, and gives full control over the size of the RDM. The effects of the proposed receiver processing scheme on the required hardware and the signal-to-noise ratio are discussed.

AB - The orthogonal frequency-division multiplexing (OFDM) signaling scheme is a promising waveform for future automotive radar systems. However, in its standard implementation, it comes with massive requirements on the hardware required for storing and processing the received OFDM signals. Moreover, one has not full control over the size of the range-Doppler map (RDM). In this work, a novel OFDM receiver signal processing scheme is proposed that impressively reduces the required memory, reduces computational requirements, and gives full control over the size of the RDM. The effects of the proposed receiver processing scheme on the required hardware and the signal-to-noise ratio are discussed.

UR - https://ieeexplore.ieee.org/document/9457544

U2 - 10.1109/IEEECONF51394.2020.9457544

DO - 10.1109/IEEECONF51394.2020.9457544

M3 - Conference proceedings

SN - 978-0-7381-3126-9

BT - Proceedings of the Asilomar Conference on Signals, Systems, and Computers (ACSSC 2020)

PB - IEEE

ER -

Reducing Hardware Requirements and Computational Effort for Automotive OFDM Radar Systems

Abstract

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