Reducing Hardware Requirements and Computational Effort for Automotive OFDM Radar Systems

被引:6
|
作者
Lang, Oliver [1 ]
Onic, Alexander [2 ]
Schmid, Christian [3 ]
Feger, Reinhard [4 ]
Huemer, Mario [1 ]
机构
[1] Johannes Kepler Univ Linz, Inst Signal Proc, Linz, Austria
[2] LeddarTech Inc, Quebec City, PQ, Canada
[3] Infineon Technol Austria AG, Villach, Austria
[4] Johannes Kepler Univ Linz, Inst Commun Engn & RF Syst, Linz, Austria
关键词
automotive radar; OFDM radar;
D O I
10.1109/IEEECONF51394.2020.9457544
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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 no 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.
引用
收藏
页码:1563 / 1567
页数:5
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