[DOI: 10.21982/M8M92V] ISAR rapidly Spinning Targets 3D imaging
a novel 3-D imaging algorithm for rapidly spinning targets based on target motion features. In this algorithm, a series of 2-D image slices are generated based on the output of the matched filter bank. Then, the image slices are combined to form a 3-D target image. "I would like to point something about this code: To get the final result, first you should run the function Data_Produce to generate the simulation data. Then load the simulation data to make match filter for three z coordinate respecticely. Finally,load the match filter result and plot the 3D image.
Code Link: ISAR_rapidly_spinning_targets_3D_imaging.zip
Code Size: 4498 bytes
Code MD5 Checksum: 532a1525e0fbe5ed63c7accdf37b7ce1
Appears in:  W. Qi, M. Xing, G. Lu, and Z. Bao, “High-resolution three-dimensional
Radar imaging for rapidly spinning targets,” IEEE Trans. Geosci. Remote
Sens., vol. 46, no. 1, pp. 22–30, Jan. 2008.
 M. Xing, R. Wu, and Z. Bao, “High resolution ISAR imaging of high
speed moving targets,” Proc. Inst. Elect. Eng.—Radar Sonar Navig.,vol. 152, no. 2, pp. 58–67, Apr. 2005.
 Z. Bao, M. D. Xing, and T. Wang, Radar Imaging Approaches. Beijing,
China: Electron. Ind. Press, 2005
 M. Xing, R Wu, J. Lan, and Z. Bao, “Migration Through Resolution Cell
Compensation in ISAR Imaging”, IEEE Geosci. Remote Sens Letters, Vol. 1, No. 2, Apr 2004.
 Q. Wang, M. Xing, G. Lu, and Z. Bao, “Single Range Matching Filtering for Space Debris Radar Imaging”, IEEE Geosci. Remote sens Letters, Vol. 4, No. 4, Oct. 2007.
 Q. Wang, M. Xing, G. Lu, and Z. Bao, “SRMF-CLEAN Imaging Algorithm for Space Debris”, IEEE Transactions On Antennas And Propagation, Vol. 55, No. 12, Dec. 2007
Code Languages: Matlab
Sensor Categories: Other - Sensor
Instrument Processing and Calibration Categories: Other - Sensor
Keywords: Inverse synthetic aperture radar (ISAR), matched filter bank, rapidly spinning targets, 3-D imaging