Tracking Refractivity from Clutter Using Kalman and Particle Filters

Yardim, Caglar; Gerstoft, Peter; Hodgkiss, William S.

doi:10.1109/tap.2008.919205

Cited by 90 publications

(66 citation statements)

References 26 publications

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“…(7) are calculated at the effective scattering height given as 0.6 times the mean wave height [2]. The control parameters of each algorithm can be achieved by the trial and error method to obtain better performance in the estimation.…”

Section: Estimation Results and Performance Analysismentioning

confidence: 99%

“…With the help of modified refractivity, the profile of evaporation duct [2] can be described by the log-linear evaporation duct using only one parameter…”

Section: The Modified Refractivity Profile Modelmentioning

confidence: 99%

“…Under the atmosphere duct environment, the nonstandard electromagnetic propagation can be observed, and the fundamental parameters and the performance of radar system and communication system can be drastically affected, such as the maximum operation range, creation of radar holes where the radar is practically blind, and strengthened sea surface clutter [2]. The atmospheric duct environment is usually described by the atmospheric modified refractivity profile.…”

Section: Introductionmentioning

confidence: 99%

“…Consequently, estimation of atmospheric duct has been an important research subject owing to its considerable application in the design of radar system and communication system. The traditional ways of determining the modified refractivity profile include devices such as radiosondes, rocketsondes, microwave refractometers and lidar [2]. However, these methods have the disadvantages of high cost and difficult in practice.…”

Section: Introductionmentioning

confidence: 99%

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Estimation of the Atmospheric Duct From Radar Sea Clutter Using Artificial Bee Colony Optimization Algorithm

Yang¹

2013

PIER

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Abstract-In this study, the Artificial Bee Colony Optimization (ABCO) algorithm has been proposed to estimate the atmospheric duct in maritime environment. The radar sea clutter power is calculated by the parabolic equation method. In order to validate the accuracy and robustness of ABCO algorithm, the experimental and simulation study are respectively carried out in the current research. In the simulation study, the statistical analysis of the estimation results in term of the mean squared error (MSE), mean absolute deviation (MAD) and mean relative error (MRE) are presented to analyze the optimization performance with different noise standard deviation, and the comparative study of the performance of ABCO and particle swarm optimization (PSO) algorithm are also shown. The investigation presented indicate that the ABCO algorithm can be accurately and effectively utilized to estimate the evaporation duct and surface-based duct using refractivity from clutter (RFC) technique in maritime environment. In addition, the performance of ABCO algorithm is clearly superior to that of the PSO algorithm according to the statistical analysis results, especially for the four-parameter surface-based duct estimation.

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Section: Estimation Results and Performance Analysismentioning

confidence: 99%

“…With the help of modified refractivity, the profile of evaporation duct [2] can be described by the log-linear evaporation duct using only one parameter…”

Section: The Modified Refractivity Profile Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Estimation of the Atmospheric Duct From Radar Sea Clutter Using Artificial Bee Colony Optimization Algorithm

Yang¹

2013

PIER

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“…Kalman filter is one of the most frequently used methods for signal processing in various applications and in many cases, it is used for such as removing noise or clutter [44,45] and tracking [46][47][48]. Kalman filter is effective in removing noise or clutter in the GPR signal, which can be modeled as Gaussian noise.…”

Section: Kalman Filtermentioning

confidence: 99%

Multi-Feature Based Detection of Landmines Using Ground Penetrating Radar

Park¹,

Park²,

Kim³

et al. 2013

PIER

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Abstract-In this paper, we present a method for detecting antitank or anti-personnel landmines buried in the ground. A set of data generated by a ground penetrating radar is processed to remove the surface reflection and clutter, yielding signals for possible landmines. In order to detect landmines in the signals, features are computed and compared against a database, which contains those of various landmines. Three features are proposed to use; principal components from principal component analysis, Fourier coefficients and singular values from singular value decomposition method, each of which is chosen to represent each landmine uniquely. Detection is performed using Mahalanobis distance-based method. Examples show that the proposed method can effectively detect landmines in various burial condition.

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Duct heights inferred from radar sea clutter using proper orthogonal bases

Fountoulakis

Earls

2016

Radio Sci.

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Maritime electromagnetic (EM)‐based communication and detection systems are strongly influenced by meteorological conditions, as they can cause anomalous electromagnetic propagation within the surface layer. To predict the performance of such systems, detailed knowledge of the refractivity profile is required. In recent years, refractivity from clutter (RFC) methods has been developed to estimate this refractivity profile by measuring radar clutter return from the rough ocean surface. The current work proposes an RFC framework that utilizes a novel surrogate model for EM propagation. The surrogate model is based on an offline created library of sparsely sampled field data of clutter returns, compressed into proper orthogonal bases, and indexed on specific surface layer refractive parameters. By exploiting the Riemannian manifold structure of the space that proper orthogonal bases occur in, we are able to interpolate among them. This, then, enables us to use the surrogate model in an inverse problem setting, whose goal is to uncover in situ maritime EM propagation conditions efficiently. We demonstrate the feasibility of our proposed surrogate model‐based RFC approach for evaporation duct by testing it with field data obtained from an experimental campaign.

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Tracking Refractivity from Clutter Using Kalman and Particle Filters

Cited by 90 publications

References 26 publications

Estimation of the Atmospheric Duct From Radar Sea Clutter Using Artificial Bee Colony Optimization Algorithm

Estimation of the Atmospheric Duct From Radar Sea Clutter Using Artificial Bee Colony Optimization Algorithm

Multi-Feature Based Detection of Landmines Using Ground Penetrating Radar

Duct heights inferred from radar sea clutter using proper orthogonal bases

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