Title :
A Novel Image Based Multi-Channel SAR-GMTI Algorithm
Author :
Liu, Anna ; Chen, Li ; Zhao, Fei ; Kuang, Gangyao
Author_Institution :
Coll. of Electron. Sci. & Eng., Nat. Univ. of Defense Technol., Changsha, China
Abstract :
A novel three-channel SAR-GMTI algorithm based on the compressed image rather than the azimuth-uncompressed raw data is proposed, which employs the classical DPCA technique and FrFT. The chirp characteristics of DPCA signal of the moving target in the SAR image domain is investigated for the first time in this paper. The scheme introduce FrFT to detect the moving target and estimate the position, velocity and radial acceleration, which lead to a more overall description on motion parameters than that of the majority of estimation algorithms. The excellent anti-noise ability of FrFT and the ideal clutter cancellation of DPCA technique results in great GMTI performance during a clutter-rich and low SNR environment. The simulation results indicate the efficiency and availability of the novel algorithm.
Keywords :
ground penetrating radar; image coding; synthetic aperture radar; SAR image domain; compressed image; multi-channel SAR-GMTI algorithm;
Conference_Titel :
Multi-Platform/Multi-Sensor Remote Sensing and Mapping (M2RSM), 2011 International Workshop on
Conference_Location :
Xiamen
Print_ISBN :
978-1-4244-9402-6
DOI :
10.1109/M2RSM.2011.5697424