Oliver Lang, Alexander Onic, Christian Schmid, Reinhard Feger, Mario Huemer,
"Reducing Hardware Requirements and Computational Effort for Automotive OFDM Radar Systems"
: Proceedings of the Asilomar Conference on Signals, Systems, and Computers (ACSSC 2020), IEEE, 11-2020, ISBN: 978-0-7381-3126-9
Original Titel:
Reducing Hardware Requirements and Computational Effort for Automotive OFDM Radar Systems
Sprache des Titels:
Englisch
Original Buchtitel:
Proceedings of the Asilomar Conference on Signals, Systems, and Computers (ACSSC 2020)
Original Kurzfassung:
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.
Forschungs-