Automotive radar – investigation of mutual interference mechanisms
By M. Goppelt, H. Blöcher, Wolfgang Menzel. 2010
148 citations recorded by the source corpus.
Abstract. In the past mutual interference between automotive radar sensors has not been regarded as a major problem. With an increasing number of such systems, however, this topic is receiving more and more attention. The investigation of mutual interference and countermeasures is therefore one topic of the joint project "Radar on Chip for Cars" (RoCC) funded by the German Federal Ministry of Education and Research (BMBF). RoCC's goal is to pave the way for the development of high-performance, low-cost 79 GHz radar sensors based on Silicon-Germanium (SiGe) Monolithic Microwave Integrated Circuits (MMICs). This paper will present some generic interference scenarios and report on the current status of the analysis of interference mechanisms.
Subfields: Aerospace Engineering, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/7df7af9680b3b7ff68f8708b4a8304ba8b9dca66
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Aerospace Engineering
- H.-L. Blocher
- Igal Bilik
- Shahar Villeval
- Oren Longman
- M. Goppelt
- Wolfgang Menzel
- Joseph Tabrikian
- K. Braun
In Electrical and Electronic Engineering
- H.-L. Blocher
- M. Goppelt
- Wolfgang Menzel
- Mihai Dimian
- K. Braun
- Zhiyong Feng
- Ning Zhang
- Alin Mihai Cailean
Citations in the corpus
- Integrated Sensing and Communication Signals Toward 5G-A and 6G: A Survey (2023, background): “In [119], a novel concept of packet-based FMCW radar using CSMA is proposed to reduce the probability of narrowband interference causing false alarm of ghost target [120].”
- Analytical investigation of mutual interference between automotive FMCW radar sensors (2011, methodology): “The estimation was derived from the interference power per frequency bin P f (4), the dwell time per frequency bin (5) and the frequency resolution (6):”
- OFDM Radar Algorithms in Mobile Communication Networks (2014, background): “chose the probability of ghost target detection as a figure of merit [65, 66].”
- The Rise of Radar for Autonomous Vehicles: Signal processing solutions and future research directions (2019, background): “Interference One of the future challenges of automotive radars is interference mitigation [16], [17].”
- Current Challenges for Visible Light Communications Usage in Vehicle Applications: A Survey (2017, background): “Furthermore, the performances of 24 GHz or 79 GHz operating radar might be affected by severe interferences as the number of equipped vehicles increases [105], whereas LIDAR’s scanning rate is quite slow (10 Hz) [106] and again, mutual interferences can appear [107], [108].”