TY - GEN
T1 - Approaches of single channel SAR combining ATI for GMTI
AU - Gao, Fei
AU - Mao, Shiyi
AU - Yuan, Yunneng
AU - Yu, Zhenming
AU - Liu, Shujun
PY - 2006
Y1 - 2006
N2 - This paper investigates a detector based on polynomial curve fit for slow ground moving target indication (GMTI) with a single channel synthetic aperture radar (SAR) multi-look along track interferometry (ATI). In addition to the steps of constructing multi-look using overlapped or unoverlapped windows, imaging, phase compensation and performing interferemetric processing involved in common techniques of ATI used for single channel clutter suppression, the approach in this paper further divides real parts of single channel ATI signals into numerous regions, calculates histograms of imagery parts of signals and adjudges threshold for special region by predetermined probability of false alarm (Pfa), and finally detector is obtained by higher order polynomial curve fit throughout the data area. Another new method of moving target validation via multi-look sample covariance matrix is also proposed. Simulation results show effectiveness of these methods in detection of moving targets submerged in strong clutter.
AB - This paper investigates a detector based on polynomial curve fit for slow ground moving target indication (GMTI) with a single channel synthetic aperture radar (SAR) multi-look along track interferometry (ATI). In addition to the steps of constructing multi-look using overlapped or unoverlapped windows, imaging, phase compensation and performing interferemetric processing involved in common techniques of ATI used for single channel clutter suppression, the approach in this paper further divides real parts of single channel ATI signals into numerous regions, calculates histograms of imagery parts of signals and adjudges threshold for special region by predetermined probability of false alarm (Pfa), and finally detector is obtained by higher order polynomial curve fit throughout the data area. Another new method of moving target validation via multi-look sample covariance matrix is also proposed. Simulation results show effectiveness of these methods in detection of moving targets submerged in strong clutter.
UR - https://www.scopus.com/pages/publications/34249289737
U2 - 10.1109/ICOSP.2006.346028
DO - 10.1109/ICOSP.2006.346028
M3 - 会议稿件
AN - SCOPUS:34249289737
SN - 0780397371
SN - 9780780397378
T3 - International Conference on Signal Processing Proceedings, ICSP
BT - 8th International Conference on Signal Processing, ICSP 2006
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 8th International Conference on Signal Processing, ICSP 2006
Y2 - 16 November 2006 through 20 November 2006
ER -