Aiming at the situation that normal detection means is hard to find the airborne moving target that has a small RCS and rapid moving speed characteristics, the algorithm of moving target detection is presented based on atmospheric wind field disturbing data detected by lidar. First, through receiving atmospheric wind field disturbance information that is produced by the airborne moving target moving on the air, and the excellent characteristics that lidar has in the detection atmosphere, atmospheric wind field disturbing retrieval model is established to acquire moving target space field distribution condition. Moving target space field change data is acquired based on filtering background air disturbance information, Moving target detection is carried out based on moving target detection algorithm. The result shows there is consistent between moving target detected by the algorithm and experimental result. An effective approach of greatly improving moving target detection ability for the low_detectable target is supplied.
Anand Radhakrishnan Mylapore, Geary K. Schwemmer, Coorg R. Prasad, Sang‐Woo Lee, Alexander Achey, I. H. Hwang, Nikhil Mehta, M. A. Yakshin, Konstantin ‘kostya’ Novoselov, Narasimha S. Prasad
Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE
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