Real time refractivity from clutter using a best fit approach improved with physical information

Douvenot, Rémi; Fabbro, Vincent; Gerstoft, Peter; Bourlier, Christophe; Saillard, J.

doi:10.1029/2009rs004137

Cited by 28 publications

(34 citation statements)

References 28 publications

(43 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…∆P obs c and ∆P c (m) denote the means of the observed (measured) and modeled mean increments of clutter power ∆P obs c (h) and ∆P c (h, m), respectively. The rest of the parameters have the same definitions as those in (10)- (13).…”

Section: Clutter Chang Pattern and Objective Functionmentioning

confidence: 99%

“…Various traditional methods have been used to determine the atmospheric refractivity profile; these approaches include "bulk" models with in situ measurements as input, microwave refractometers [7], LIDAR techniques [8], and many numerical weather prediction models [9]. In recent years, a technique referred to as refractivity from clutter (RFC) has been widely used in retrieving the refractivity profile in maritime environments [10][11][12][13][14]. This method can easily be performed without additional instruments apart from the radars installed on ships.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Evaporation Duct Retrieval Using Changes in Radar Sea Clutter Power Versus Receiving Height

Zhang¹,

Wu²,

Zhang³

et al. 2012

PIER

View full text Add to dashboard Cite

Abstract-A method for retrieving evaporation duct height (EDH) is introduced in this paper. The proposed technique employs the changes in radar sea clutter power observed at different heights as input information. It identifies the EDH associated with the modeled clutter change pattern that best matches measured change patterns. The performance of the method is evaluated in terms of RMS errors in retrieving actual EDHs that range from 0 to 40 m. The comparison of the proposed method with the conventional clutter pattern matching method shows that the former more effectively retrieves actual EDHs.

show abstract

Section: Clutter Chang Pattern and Objective Functionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Evaporation Duct Retrieval Using Changes in Radar Sea Clutter Power Versus Receiving Height

Zhang¹,

Wu²,

Zhang³

et al. 2012

PIER

View full text Add to dashboard Cite

show abstract

“…Yardim et al adopted Markov chain Monte Carlo (MCMC) sampling approach, a hybrid GA-MCMC method and Kalman Filters, respectively, to investigate RFC problem [9][10][11]. Through establishing many pre-computed, modeled radar clutter returns for different refractive environments in a database, Douvenot et al inverted refractivity profiles based on finding the optimal environment from the database [12,13]. Other researches on RFC techniques can be found in the literatures [14][15][16].…”

Section: Introductionmentioning

confidence: 99%

Refractivity From Clutter by Variational Adjoint Approach

Zhao¹,

Huang²

2011

PIER B

View full text Add to dashboard Cite

Abstract-Inferring refractivity profiles from radar sea clutter is a complex nonlinear optimization problem. Previous works treat this problem as a model parameter estimation issue by using some idealized refractivity models, such as the Log linear evaporation duct model, bilinear model, and trilinear model, to describe the synoptic structure of the real atmospheric conditions. However, these idealized models can not describe the exact information of the refractivity profile. Rather than estimating a few model parameters, this paper puts forward possibilities of retrieving the refractivity values at each point over height by variational adjoint approach for RFC measurement geometry. The adjoint model is derived from the parabolic equation method for a smooth, perfectly conducting surface and horizontal polarization conditions. Evaporation duct profiles collected at East China Sea are provided as the true refractive environment. The performance of this approach is determined via simulations and is evaluated as a function of: 1) the initial guess profile; 2) the measurement noise; and 3) the spatial samples.

show abstract

“…The ability to assess the refractive effects of the atmosphere on shipboard surveillance and communication systems is required to avoid unwanted extended signal transmissions as well as degradations in the performance of these systems. Over the past few decades, many attempts have been made to improve understanding and prediction of these effects [3]- [11]. Estimates of refractivity information from RF measurements have been performed using ground based propagation measurements [3], [4], [6], observations of satellites [5], [7], or radar measurements [9], [12]- [16].…”

Section: Introductionmentioning

confidence: 99%

<inline-formula> <tex-math notation="LaTeX">$X$ </tex-math> </inline-formula>-Band Beacon-Receiver Array Evaporation Duct Height Estimation

Pozderac

Johnson

Yardim

et al. 2018

IEEE Trans. Antennas Propagat.

View full text Add to dashboard Cite

Abstract-Two recent experimental campaigns have provided the opportunity to measure radiowave propagation and atmospheric conditions with the X-Band Beacon-Receiver (XBBR) array system. The XBBR consists of vertical arrays of transmitters and receivers for measuring X-band radio frequency propagation. When used to measure propagation near the sea surface, the resulting data can be used to obtain information on the evaporation duct height (EDH) and the refractivity profile of the lower atmosphere. Since ducted propagation acts as a leaky waveguide, the vertical array elements in various transmit and receive height combinations effectively observe differing combinations of the modal components propagating in the duct. The use of all transmitter/receiver combinations therefore improves estimation of duct properties.The first campaign deployed the XBBR off the coast of San Diego, CA during the SoCal 2013 experiment. The second campaign took place in La Jolla, CA at the Scripps Institution of Oceanography Pier for long-term measurement of propagation in the marine atmospheric boundary layer. The propagation loss between transmitters at multiple heights and receivers at multiple heights was measured, and the received power recorded at each of the receivers from each of the transmitters, standardized by the total received power, was compared to Variable Terrain Radio Parabolic Equation (VTRPE) [1] model predictions in order to estimate the EDH. Point meteorological data was also recorded and used with the Navy Atmospheric Vertical Surface Layer Model (NAVSLaM) [2] to obtain in-situ measurements of the EDH. Comparisons show a high degree of correlation between EDH values inferred from XBBR and from meteorological information.

show abstract

Real time refractivity from clutter using a best fit approach improved with physical information

Cited by 28 publications

References 28 publications

Evaporation Duct Retrieval Using Changes in Radar Sea Clutter Power Versus Receiving Height

Evaporation Duct Retrieval Using Changes in Radar Sea Clutter Power Versus Receiving Height

Refractivity From Clutter by Variational Adjoint Approach

<inline-formula> <tex-math notation="LaTeX">$X$ </tex-math> </inline-formula>-Band Beacon-Receiver Array Evaporation Duct Height Estimation

Contact Info

Product

Resources

About