Simulator Design for Interference Analysis in Complex Automotive Multi-User Traffic Scenarios
| Autor: | Fabian Roos, Lizette Lorraine Tovar Torres, Christian Waldschmidt |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Sensor systems
Motor vehicles Design and construction Computer science Radar receiving apparatus Stra��enverkehr Real-time computing Automotive industry Advanced driver assistance systems 02 engineering and technology Statistische Analyse Automotive engineering Interference (wave propagation) Multi-user Automotive radar law.invention Tools law Road vehicle radar DDC 620 / Engineering & allied operations 0202 electrical engineering electronic engineering information engineering Radar Road traffic Measure (data warehouse) Sensors business.industry Detectors 020206 networking & telecommunications Straßenverkehr Statistical analysis Radar receivers Radiofrequency interference ddc:620 Interference business Simulation Interferenz |
| Zdroj: | 2020 IEEE Radar Conference (RadarConf20). |
| DOI: | 10.1109/radarconf2043947.2020.9266318 |
| Popis: | Since the number of radar sensors per vehicle has been increasing in order to improve the performance of Advanced Driver Assistance Systems, mutual interference has become one of the most important challenges for near future automotive radar systems. Depending on the sensor parameters and the diverse properties of the traffic scenario, the interference effects can significantly vary. The effort to measure and appraise the interference in real traffic scenarios leads to the importance of designing a tool suited to simulate and analyze the interference. This paper presents a fast simulator capable of modeling, estimating, and evaluating the effects of interference in complex multi-user traffic scenarios. A statistical analysis of the interference in a proposed scenario is performed in order to validate the presented simulator. acceptedVersion |
| Databáze: | OpenAIRE |
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