An Improved Space Debris ISAR Imaging Algorithm

Bao Ping Wang; Jun Jie Guo; Chao Sun

doi:10.4028/www.scientific.net/AEF.6-7.321

Paper Titles

The Halftone Image Watermarking Algorithm Based on Error Diffusion
p.299

The Research on Positions Distribution in Airport Operation Command Simulation System
p.304

A New Error Concealment Algorithm Based on Directional Texture Synthesis
p.309

Feedback Searching Bias and Measurement of its Effect on Ant Colony Optimization
p.315

An Improved Space Debris ISAR Imaging Algorithm
p.321

TPEF Cardiomyocyte Image 3-D Cutting and Volume Measuring Based on ImageJ
p.327

Improved CK Metrics for Object Oriented Design Measurement
p.333

Application Model and Implementation about Team Secrecy Encryption
p.339

A Modified Multi-Secret Visual Cryptography with Ring Shares
p.343

HomeAdvanced Engineering ForumAdvanced Engineering Forum Vols. 6-7An Improved Space Debris ISAR Imaging Algorithm

An Improved Space Debris ISAR Imaging Algorithm

Abstract:

According to the Characteristics of space debris, single-range matching filtering (SRMF) can be used for space debris inverse synthetic aperture radar (ISAR) imaging. Combined SRMF and Coherent CLEAN algorithm can effectively solve high sidelobes problem brought by Fourier transform. However, when the SNR is low, the position error of scattering centers extracted by SRMF-CLEAN is big, and even some weak scatterings can’t be extracted. This paper uses Sequence CLEAN instead of Coherent CLEAN to availably solve the above problems. The experiment results confirm the validness of the proposed algorithm.

By email View Pdf

You have full access to the following eBook

Read eBook

Info:

Periodical:

Advanced Engineering Forum (Volumes 6-7)

Pages:

321-326

DOI:

https://doi.org/10.4028/www.scientific.net/AEF.6-7.321

Citation:

Cite this paper

Online since:

September 2012

Authors:

Bao Ping Wang, Jun Jie Guo, Chao Sun

Keywords:

Coherent CLEAN, ISAR, Sequence CLEAN, Space Debris, SRMF

Export:

RIS, BibTeX

Permissions:

Creative Commons CC BY 4.0

Citation:

References

[1] Wang Qi, Xing Mengdao, Bao Zheng. Single Range Matching Filtering Based Space Debris Radar Image [J]. Journal of Electronics & Information Technology, 2008, 30 (5): 1037-1040.

DOI: 10.3724/sp.j.1146.2006.01626

Google Scholar

[2] Wang Qi, Xing Mengdao, Lu Guangyao, and Bao Zheng. SRMF-CLEAN imaging algorithm for space debris. IEEE Transcation on Antennas Propagation, 2007, 55(12): 3524-3533.

DOI: 10.1109/tap.2007.910343

Google Scholar

[3] Bose, R., Steinberg, B.D., and Freedman, A. (2002) Sequence CLEAN: A modified deconvolution technique for microwave images of contiguous targets. IEEE Transactions on Aerospace and Electronic Systems, 38, 50 (Jan. 2002): 89-97.

DOI: 10.1109/7.993231

Google Scholar

[4] Schwarz U J. Mathematical-statistical description of the iterative beam removing technique (method CLEAN). Astron Astrophys, 1978, 65 (2): 345-356.

Google Scholar

[5] Bose, R., Steinberg, B.D., and Freedman, A. (2002) Sequence CLEAN: A modified deconvolution technique for microwave images of contiguous targets. IEEE Transactions on Aerospace and Electronic Systems, 38, 50 (Jan. 2002).

DOI: 10.1109/7.993231

Google Scholar

[6] Chen V C, Qian S. Joint time-frequency transform for radar time Doppler imaging[J]. IEEE Trans on AES, 1998, 34(2): 486-499.

DOI: 10.1109/7.670330

Google Scholar

[7] J Li, H Ling. Application of adaptive chirplet representation for ISAR feature extraction from targets with rotating parts[J]. IEE Proc-Radar Sonar Navig, 2003, 150(4): 284-291.

DOI: 10.1049/ip-rsn:20030729

Google Scholar

[8] H J Li, N H Farhat, Y S Shen. A new iterative algorithm for extrapolation of data available in multiple restricted regions with applications to radar imaging[J]. IEEE Trans on AP, 1987, 35(5): 581-588.

DOI: 10.1109/tap.1987.1144138

Google Scholar