Proceedings ArticleDOI
Simulation of radar sea clutter using autoregressive modelling and K-distribution
C. Bouvier,L. Martinet,Gérard Favier,M. Artaud +3 more
- pp 425-430
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TLDR
In this paper, a low-order autoregressive (AR) model is used to model the correlation properties of the sea clutter in terms of power spectrum, while its amplitude can be modelled using the K-distribution.Abstract:
In the context of target detection by surface radars, the paper presents a new technique for modelling and simulating the sea clutter. This technique was derived from an analysis of real-life data obtained with an S-band radar. The study on experimental measurements has shown that the correlation properties, in terms of power spectrum, of the sea clutter can be well described by means of a low order autoregressive (AR) model, while its amplitude can be modelled in using the K-distribution. A procedure for simulating sea clutter with an AR model combined with a K amplitude distribution, is proposed and is tested by statistical tests and a comparison with real sea clutter data.read more
Citations
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Journal ArticleDOI
Robust Burg estimation of radar scatter matrix for autoregressive structured SIRV based on Fréchet medians
TL;DR: In this paper, the authors address the estimation of the scatter matrix of a scale mixture of Gaussian stationary autoregressive (AR) vectors, which is equivalent to consider a structured scatter matrix for a spherically invariant random vector whose structure comes from an AR modelisation.
Dissertation
Nonlinear processing of non-Gaussian stochastic and chaotic deterministic time series
TL;DR: This thesis investigates whether nonlinear processing techniques can be used to improve the performance of maritime surveillance radar, relative to the performance achievable using linear techniques, despite recent work which suggested otherwise.
Posted Content
Robust Burg Estimation of Radar Scatter Matrix for Autoregressive structured SIRV based on Fr\'echet medians
TL;DR: This work addresses the estimation of the scatter matrix of a scale mixture of Gaussian stationary autoregressive vectors and studies several approaches of robust modification of the introduced Burg algorithms, based on Fr\'echet medians defined for the Euclidean or the Poincar\'e metric in presence of outliers or contaminating distributions.
Journal ArticleDOI
Sea Clutter Texture Estimation: Exploiting Decorrelation and Cyclostationarity
TL;DR: The texture spectrum is modeled as an autoregressive (AR) process, while the texture range profile within one pulse repetition interval (PRI) is identified by combining the AR estimation of the sea clutter sample auto-covariance with the empirical orthogonal functions (EOF) analysis.
Proceedings ArticleDOI
Analysis of high resolution land clutter using an X-band radar
TL;DR: In this article, the amplitude probability distribution function (PDF) was used to fit the amplitude PDF to different distributions using the Method of Moments (MoM) and applying the Kullback-Leibler Divergence test to assess the accuracy of the PDF fittings.
References
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Journal ArticleDOI
A model for non-Rayleigh sea echo
E. Jakeman,P. Pusey +1 more
TL;DR: In this paper, a mathematical model for non-Rayleigh microwave sea echo is developed which describes explicitly the dependence of statistical properties of the radar cross section on the area of sea surface illuminated by the radar.
Journal ArticleDOI
Modelling and simulation of non-Rayleigh radar clutter
TL;DR: Modelling the clutter as a compound Gaussian or a spherically invariant random process allows a complete specification of the clutter suitable for use in radar design and lends itself readily to computer simulation procedures.
Journal ArticleDOI
Classification of radar clutter using neural networks
Simon Haykin,C. Deng +1 more
TL;DR: A classifier that incorporates both preprocessing and postprocessing procedures as well as a multilayer feedforward network (based on the back-propagation algorithm) in its design to distinguish between several major classes of radar returns including weather, birds, and aircraft is described.
Journal ArticleDOI
Correlated K-distributed Clutter Models
TL;DR: The theoretical results for a double coherence length surface model are compared with overland images obtained with the RSRE X -band synthetic-aperture radar (SAR) processor and it is demonstrated that the model provides a reasonable representation of the dependence of the real image on the system resolution.
Journal ArticleDOI
K-distributed coherent sea clutter
TL;DR: In this article, the properties of coherently detected high-range-resolution radar sea clutter are examined with reference to those properties observed non-coherently, and it is shown how the nonGaussian characteristics of non-Coherently detected sea clutter manifest themselves in the coherent domain and how these characteristics require a thorough understanding in order to optimise any detection processing, especially if integration techniques are utilized.