Title :
Performance evaluation of image feature-based space-time processing (IFSTP) for moving target detection
Author :
Zhe Geng ; Hai Deng
Author_Institution :
Electr. & Comput. Eng. Dept., Florida Int. Univ., Miami, FL, USA
Abstract :
As an alternative to space-time adaptive processing (STAP), image feature-based space-time processing (IFSTP) algorithm is used by airborne radar to detect ground moving targets in clutter based on the distinct image features of target, clutter and jamming signals. In this work, the performance of IFSTP is analyzed by evaluating the detection probability and the false alarm rate of the approach for airborne radar systems.
Keywords :
airborne radar; image processing; jamming; object detection; radar clutter; radar target recognition; space-time adaptive processing; airborne radar; clutter; ground moving targets; image feature-based space-time processing; jamming signals; moving target detection; space-time adaptive processing; target image features; Airborne radar; Clamps; Clutter; Feature extraction; Object detection; Probability;
Conference_Titel :
Antennas and Propagation Society International Symposium (APSURSI), 2013 IEEE
Conference_Location :
Orlando, FL
Print_ISBN :
978-1-4673-5315-1
DOI :
10.1109/APS.2013.6711172
