Micro-Motion ISAR Imaging Method Based on MP Sparse Decomposition for Fast Moving Target

Article Preview

Abstract:

In this paper, a new micro-motion ISAR imaging algorithm is proposed, which achieve high cross range resolution by using the changes of azimuth angle caused by micro-motion. Before Wigner-Ville transformation to eliminate the cross-term interference, the echoes of the same range cell are decomposed. Comparing to traditional the Wigner-Ville imaging algorithm and Range-Doppler algorithm, this new algorithm in this paper has better imaging precision and no cross-term interference is existed. At last, the effectivity of the proposed algorithm is demonstrated by the simulated results.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 760-762)

Pages:

1482-1485

Citation:

Online since:

September 2013

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Ram S S, Ling H. Simulation of Human Micro-Dopplers using computer animation Data[C]. IEEE Conference on Radar, (2008).

Google Scholar

[2] Ram S S, Christianson C, Kim Y. Simulation and analysis of human micro-Doppler in through-wall environments[J] IEEE Transactions on Geoscience and Remote Sensing, 2010, 48(4): 2015-(2023).

DOI: 10.1109/tgrs.2009.2037219

Google Scholar

[3] Zhang Z, Pouliquen P O. Acoustic micro-Doppler radar for human gait imaging[J]. J. Acoust. Soc. Am, 2007, 121(3): 110-113.

Google Scholar

[4] Anderson M G, Rogers R L. Micro-Doppler analysis of multiple frequency continuous wave radar signatures[C]. Radar Sensor Technology XI. Proc. of SPIE, vol. 6547, (2007).

DOI: 10.1117/12.719800

Google Scholar

[5] Björklund S, Petersson H, Nezirovic A, et al. Millimeter-wave radar micro-Doppler signatures of human motion[C] International Radar symposium, 2011: 167-174.

Google Scholar

[6] Ghaleb A, Vignaud L, Nicolas J M. Micro-Doppler analysis of wheels and pedestrians in ISAR imaging[J]. IET Signal Processing, 2008, 2(3): 301-311.

DOI: 10.1049/iet-spr:20070113

Google Scholar