Code Record


[DOI: 10.21982/M8M92V] ISAR rapidly Spinning Targets 3D imaging
Mengdao, Xing
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:
Code Size: 4498 bytes
Code MD5 Checksum: 532a1525e0fbe5ed63c7accdf37b7ce1

Appears in: [1] 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.

[2] 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.

[3] Z. Bao, M. D. Xing, and T. Wang, Radar Imaging Approaches. Beijing,
China: Electron. Ind. Press, 2005

[4] 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.

[5] 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.

[6] 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