Mutual Interference of Millimeter-Wave Radar Systems

By G. Brooker. IEEE transactions on electromagnetic compatibility (Print), 2007

302 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Artificial Intelligence, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/f4df403ed63ada250697b624b742c2f7b0eb655e

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

1. H.-L. Blocher
2. M. Goppelt
3. Wolfgang Menzel
4. Igal Bilik
5. Shahar Villeval
6. Oren Longman
7. Athina P. Petropulu
8. Joseph Tabrikian

In Artificial Intelligence

1. Athina P. Petropulu
2. K. Braun
3. M. Goppelt
4. Wolfgang Menzel

In Electrical and Electronic Engineering

1. H.-L. Blocher
2. M. Goppelt
3. Wolfgang Menzel
4. Athina P. Petropulu
5. K. Braun
6. V. Poor
7. Lei Zhu
8. Sai‐Wai Wong

Citations in the corpus

• 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].”
• Automotive radar – investigation of mutual interference mechanisms (2010, background): “– Brooker (2007): Investigation of the interference between an FMCW radar and a pulsed radar and propositions for interference minimization techniques.”
• OFDM Radar Algorithms in Mobile Communication Networks (2014, background): “Brooker [67] provides a very thorough analysis of interference in automotive radar systems at 77 and 94GHz; his metric of choice is the probability of interference.”
• Analytical investigation of mutual interference between automotive FMCW radar sensors (2011, background): “The probability pghost that an interference signal from an identical FMCW radar sensor with the same start frequency creates ghost targets for all ramps is described quantitatively by (1):”
• MIMO Radar for Advanced Driver-Assistance Systems and Autonomous Driving: Advantages and Challenges (2020, background): “However, if the FMCW sweep rates of the interference and victim radar are the same, the interference radar will create ghost targets [117], which makes interfer­ ence mitigation more challenging, since this scenario is diffi­ cult to detect.”
• Automotive Radars: A review of signal processing techniques (2017, background): “Another important aspect of automotive radars is the interference between two vehicles [68].”