Compound representation of high resolution sea clutter

Ward, K.D.

doi:10.1049/el:19810394

Cited by 365 publications

(179 citation statements)

References 3 publications

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“…This corresponds to the experimentally evidenced multiplicative representation of the scattered amplitude in terms of two (independent) components: the Gaussian speckle γ t , modulated by (the square root of) the cross section x t [16]. In the continuum limit, the master equation (2.4) reduces to the Fokker-Planck equation (FPE) [8],…”

Section: First-order Transitionsmentioning

confidence: 91%

Discrete Models for Scattering Populations

Fayard

Field

2011

J. Appl. Probab.

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Jakeman's random walk model with step number fluctuations describes the coherent amplitude scattered from a rough medium in terms of the summation of individual scatterers' contributions. If the scattering population conforms to a birth-death immigration model, the resulting amplitude is K-distributed. In this context, we derive a class of diffusion processes as an extension of the ordinary birth-death immigration model. We show how this class encompasses four different cross-section models commonly studied in the literature. We conclude by discussing the advantages of this unified description.

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Section: First-order Transitionsmentioning

confidence: 91%

Discrete Models for Scattering Populations

Fayard

Field

2011

J. Appl. Probab.

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“…A compound version of the distribution was also proposed in [14] and discussed in chapters 2-3 of [15]. This formulation allows to characterise two different components contributing to the clutter amplitude fluctuations and to describe both amplitude and correlation properties.…”

Section: Analysis Of Amplitude Statisticsmentioning

confidence: 99%

Analysis of polarimetric bistatic sea clutter using the NetRAD radar system

Fioranelli

Ritchie

Griffiths

et al. 2016

IET Radar, Sonar & Navigation

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This paper presents a comparative analysis of amplitude and Doppler spectra statistics from monostatic and bistatic sea clutter data at S-band. These data cover a range of bistatic angles from 60° to 120° and include simultaneous monostatic and co-polarized and cross-polarized bistatic recordings, providing direct comparison of their statistical properties. The time series of amplitude data are fitted to the compound K and K+Noise distribution in the range domain and in the Doppler domain, and the variation of the shape parameter is presented for monostatic and co-polarized and cross-polarized bistatic data as an indication of the spikiness of the clutter. From the analysis of this parameter it is shown that cross-polarized bistatic data tend to be less spiky in the range and Doppler domain than the simultaneous co-polarized bistatic data, and than the simultaneous monostatic data, which could be advantageous in terms of radar detection performance, especially for low-visibility maritime targets.

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“…At a low grazing angle, the K distribution has been validated in many literatures that it is a proper model for the high-resolution sea clutter returns [30,31], which are subjected to shadowing, ducting and multipath propagation [29,32]. By contrast, the returns are affected by Bragg scattering from rough sea surface and scattering from whitecaps at higher grazing angles [29].…”

Section: The Kk Distributionmentioning

confidence: 99%

Cfar Target Detection in Ground Sar Image Based on Kk Distribution

Gao¹,

Zhan²,

Wan³

et al. 2013

PIER

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Abstract-This paper deals with the problem of constant false alarm rate (CFAR) target detection in high-resolution ground synthetic aperture radar (SAR) images based on KK distribution.For the parameter estimation of KK distribution, the semi-experiential algorithm is analyzed firstly. Then a new estimation algorithm based on the particle swarm optimization (PSO) is proposed, which takes the discrepancies between the histogram of the clutter data and probability density function (PDF) of KK distribution at some selected points as the cost function to search for the optimal parameter values using PSO algorithm. The performance of the two algorithms is compared using Monte-Carlo simulation using the simulated data sets generated under different conditions; and the estimation results validate the better performance of the new algorithm. Then the KK distribution, which is proposed for spiky sea clutter originally, is applied to model the real ground SAR clutter data. The goodness-of-fit test clearly show that the KK distribution is able to model the ground SAR clutter much better than some common used model, such as standard Kdistribution and Gamma, etc. On this basis, a global CFAR target detection algorithm is presented. The detection threshold is calculated numerically through the cumulative density function (CDF) of KK distribution. Comparing the amplitude of every SAR image pixel with this threshold, the potential targets in ground SAR images can be located effectively. Then target clustering is implemented to eliminate the false alarm and obtain more accurate target regions. The detection results of the proposed algorithm in a typical ground SAR image show that it has better performance than the detector based on G 0 distribution.

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Compound representation of high resolution sea clutter

Cited by 365 publications

References 3 publications

Discrete Models for Scattering Populations

Discrete Models for Scattering Populations

Analysis of polarimetric bistatic sea clutter using the NetRAD radar system

Cfar Target Detection in Ground Sar Image Based on Kk Distribution

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