Options
Pedestrian recognition in automotive radar sensors
Publikationstyp
Conference Paper
Date Issued
2013
Sprache
English
Author(s)
Institut
TORE-URI
Start Page
732
End Page
739
Article Number
6581666
Citation
14th International Radar Symposium, IRS 2013: Proceedings: International Radar Symposium - IRS 2013 ; Dresden, Germany, June 19 - 21, 2013 / organized by Hamburg University of Technology TUHH; German Institute of Navigation (DGON). Symposium chairman: Hermann Rohling [ed.]. - Göttingen : Cuvillier. - Band 2 (2013): 6581666 i.e. Seite 732-739
Contribution to Conference
Publisher
IEEE ; Cuvillier
Automotive radar sensors in the 24 GHz frequency domain measure target range and Doppler frequency simultaneously even in multiple target situations. The all weather capability of radar sensors is an important argument for their application in modern cars and in driver assistant systems. The measurement accuracy and target resolution depends on the applied waveform. Therefore the Multi Frequency Shift Keying (MFSK) and the Chirp Sequence waveform will be considered and compared in this paper. The classical radar sensor measures target range, radial velocity and azimuth angle. Additionally the radar sensor should be able to distinguish between different objects like pedestrians and cars in automotive applications. In this case the target recognition quality depends mainly on the signal-to-noise ratio (SNR), the signal features and their measurement accuracy, respectively. In this paper the quality of the target recognition process will be quantitatively measured and compared for two different radar waveforms. © 2013 German Inst of Navigation.
DDC Class
620: Ingenieurwissenschaften