Acoustic Noise Pattern Detection and Identification Method in Doppler System
Keywords:Acoustic signal processing, vehicle detection, pattern matching, classification algorithms, Doppler effect
AbstractThis paper discusses detection and identification of the moving vehicles based on prerecorded acoustic noise patterns. Object movement and object type differences would lead to the significant vehicle pattern changes. Doppler shift estimations of the measured signal spectral components will improve the recognition and classification performance. The proposed pattern identification methods could be used for the robust single sensor system or as a part of complex multi-sensor and learning solutions. The experimental results illustrate measured signal processing stages.
How to Cite
The copyright for the paper in this journal is retained by the author(s) with the first publication right granted to the journal. The authors agree to the Creative Commons Attribution 4.0 (CC BY 4.0) agreement under which the paper in the Journal is licensed.
By virtue of their appearance in this open access journal, papers are free to use with proper attribution in educational and other non-commercial settings with an acknowledgement of the initial publication in the journal.