@inproceedings{ea0ab63c2f964f29bdd2efa42ff2a3f1,
title = "Performance comparison of mutual automotive radar interference mitigation algorithms",
abstract = "The number of cars equipped with radar sensors is steadily increasing. Hence, mutual sensor interference will inevitably occur frequently. Interference results in decreased sensing performance, potentially leading to dangerous traffic situations. For the chirp sequence (CS) radars prevalent in automotive applications, different processing algorithms for interference mitigation have been proposed. However, the performances of these algorithms have not typically been evaluated and compared in a systematic way. In this paper we describe a framework based on the statistical evaluation of performance measures, suitable for a general comparison of mutual radar interference mitigation algorithms. The proposed methodology is then applied to analyze selected algorithms based on radar simulations.",
keywords = "Automotive components, Millimeter wave radar, Radar signal processing, Radiofrequency interference, Sensor systems",
author = "Mate Toth and Paul Meissner and Alexander Melzer and Klaus Witrisal",
year = "2019",
month = apr,
day = "1",
doi = "10.1109/RADAR.2019.8835681",
language = "English",
series = "2019 IEEE Radar Conference, RadarConf 2019",
publisher = "Institute of Electrical and Electronics Engineers",
booktitle = "2019 IEEE Radar Conference, RadarConf 2019",
address = "United States",
note = "2019 IEEE Radar Conference, RadarConf 2019 ; Conference date: 22-04-2019 Through 26-04-2019",
}