Improved UAV Detection with the MIMO Radar MIRA-CLE Ka using Range-Velocity Processing and TDMA Correction Algorithms

摘要

We present the improvements of UAV detection by using range-velocity processing instead of range-Doppler processing to perform longer coherent processing intervals (CPI). This increases the signal-to-noise ratio (SNR) and the ability to improve the classification by adding a micro-Doppler analysis even if the target moves along several range cells over the recording time. Furthermore an approach is presented for the correction of the time division multiplexing access (TDMA), which is used for the synthesis of the virtual MIMO (Multiple-Input Multiple-Output) array, resulting in a misplaced target localization or grating lobes.