About this document
CFAR Algorithms for Automotive Radar Detection by pearsonicin is a document available to read on EtoBox.
This bachelor thesis explores object detection using automotive radar sensors and CFAR algorithms to improve detection reliability in noisy environments. It presents two CFAR methods, cell-averaging and ordered-statistic, comparing their performance through MATLAB simulations and real radar data. The thesis highlights the importance of adaptive thresholding in reducing false alarms and enhancing detection accuracy for Advanced Driver Assistance Systems (ADAS).
- Author
- pearsonicin
- Language
- EN