NDLI: False detection of chaotic behaviour in the stochastic compound k-distribution model of radar sea clutter

Content Provider	IEEE Xplore Digital Library
Author	Unsworth, C.P. Cowper, M.R. McLaughlin, S. Mulgrew, B.
Copyright Year	2000
Description	Author affiliation: Dept. of Electron. & Electr. Eng., Edinburgh Univ., UK (Unsworth, C.P.)
Abstract	There is current debate in the radar community whether sea clutter is stochastic or chaotic. In this paper, a stochastic k-distributed surrogate is generated for a typical sea clutter data set. The k-distributed set was then analysed using the methods recently applied to sea clutter by Haykin et al. (Haykin and Li, Proc. IEEE, vol.83, pp.95-122, 1995; Haykin and Puthusserypady, Proc. IEE Radar, pp.75-9, 1997). The k-distributed set is shown to have DML (maximum likelihood estimation of the correlation dimension) and FNN (false nearest neighbours) values in the same range as reported by Haykin et al. (1995; 1997) and with positive and negative Lyapunov exponents. In addition, various white and correlated noise distributed sets are analysed in the same way and found to produce a similar artefact. It is concluded that these chaotic invariants cannot be used to distinguish between chaotic and stochastic time series and are redundant in an application, such as radar sea clutter, where the time series is unknown and could be of a stochastic nature.
Starting Page	296
Ending Page	300
File Size	393311
Page Count	5
File Format	PDF
ISBN	0780359887
DOI	10.1109/SSAP.2000.870131
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2000-08-16
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Radar detection Chaos Stochastic processes Radar clutter White noise Stochastic resonance Sea measurements Fractals Noise robustness Information analysis
Content Type	Text
Resource Type	Article

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