Automotive radar systems offer the capability to measure extremely accurately target range, relative velocity, and azimuth angle for all objects inside the observation area. It is important that the target parameters can be measured simultaneously even in multiple target situations, which is a technical challenge for the waveform design. For future automotive applications like pedestrian safety systems, collision warning, turning-off and lane-changing assistance it will be necessary to have even more detailed information about the target type. Therefore, a target classification technique, which is purely based on the range profile measured by a so-called near distance radar sensor, is presented in this paper. In a realistic test environment it is shown and demonstrated experimentally that the developed target classification system is able to distinguish successfully between the radar echo signals coming from pedestrian and cars. All these measurements are based on a single UMRR (universal medium range resolution) monopulse radar.


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    Title :

    Target recognition in automotive radar systems


    Contributors:


    Publication date :

    2004


    Size :

    6 Seiten, 8 Bilder, 1 Tabelle, 5 Quellen


    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




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