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DFA method for low observable targets detection

已有 3146 次阅读 2010-5-27 20:05 |个人分类:时效网络|系统分类:论文交流

Low Observable Targets Detection by Joint Fractal Properties of Sea Clutter: An Experimental Study of IPIX OHGR Datasets

Xiao-Ke Xu;  
Sch. of Commun. & Electron. Eng., Qingdao Technol. Univ., Qingdao, China 

This paper appears in: Antennas and Propagation, IEEE Transactions on
Issue Date: April 2010
Volume: 58 Issue:4
On page(s): 1425 - 1429
ISSN: 0018-926X
INSPEC Accession Number: 11208229
Digital Object Identifier: 10.1109/TAP.2010.2041144 
Date of Publication: 22 ä¸?æ?? 2010
Date of Current Version: 05 å??æ?? 2010
Sponsored by: IEEE Antennas and Propagation Society 

Abstract: We exploit the joint fractal properties of sea clutter extracted from detrended fluctuation analysis (DFA) for targets detection. We find that two specific fractal statistics, i.e., the intercept at the crucial scale and the Hurst exponent of optimal scales provide valuable information for targets detection. The first statistic measures the discrepancy between sea clutter and low observable targets at the crucial fractal scale, and the second one evaluates the average fractal difference within the optimal multi-scales. A target detection method integrating these two statistics is proposed, which is validated by real-life IPIX radar datasets. We find that this joint fractal detection approach achieves more accurate results for low observable targets detection.

Links: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5395653

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