Wind aspect factor in sea clutter modeling

Spaulding, B.; Horton, D.A.; Pham, H.

doi:10.1109/radar.2005.1435799

Cited by 9 publications

(9 citation statements)

References 1 publication

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The TSC model [3] is a function of grazing angle, radar frequency, sea state, wind aspect angle and polarization. The model value is an average of the upwind, crosswind and downwind direction and covers a frequency band from 0.5 GHz to 35 GHz.…”

Section: The Tsc Modelmentioning

confidence: 99%

“…Thirdly, the wind speed in the improved SASS model is corrected to 10 U at a height of 10 m above sea surface. A function is presented in [3] to covert wind speed at any height to the wind speed 10 U , which is defined as (12) Moreover, the improved Ĝ and Ĥ values are generated by using Curve Fitting in MATLAB R2014b, which are fitted to quadratic polynomials about grazing angle as for VV and HH polarizations in upwind, crosswind and downwind directions. Furthermore, the usage method of the improved SASS model is shown in Algorithm 1 under the input radar operation conditions.…”

Section: The Algorithm For the Improved Sass Modelmentioning

confidence: 99%

“…For instance, it is necessary to estimate the scale and shape parameters of K-distribution in clutter simulation, which reflect the clutter intensity and fluctuation degree respectively. Thus, the mean clutter power in a resolution cell should be calculated according to mean clutter reflectivity models, such as the HYB model [1], the TSC model [2,3], and the NRL model [4]. However, these models are developed from Nathanson data with only three data tables at 10  , 30  and 60  which is a severe limitation in clutter simulation for a fine resolution radar at medium and high grazing angles ( 10   ) [5].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

An Improved SASS Model for Sea Clutter Reflectivity at Ku-band

Zhao¹,

Gao²,

Jiang³

et al. 2020

dtcse

View full text Add to dashboard Cite

The typical models, namely, Hybrid (HYB) model, Technology Service Corporation (TSC) model, and Naval Research Laboratory (NRL) model, reveal a large deviation at medium and high grazing angles that leads to an inaccurate prediction of sea clutter backscattering coefficient, owing to a limitation of the measured Nathanson data. An improved model for sea clutter reflectivity is proposed as a function of grazing angle, azimuth direction, radar polarization and wind speed, based on the SEASAT-A Satellite Scatterometer (SASS) model with sufficient measured data at Ku-band. To deal with the redundant structure of SASS model, the improved SASS model is developed to simplify the calculation of mean backscatter coefficients of sea clutter. In addition, the design algorithm of the improved SASS model, as well as the model usage method is presented. The reliability of the improved SASS model is proved by comparisons with Nathanson models and measured sea clutter data.

show abstract

Section: The Tsc Modelmentioning

confidence: 99%

Section: The Algorithm For the Improved Sass Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

An Improved SASS Model for Sea Clutter Reflectivity at Ku-band

Zhao¹,

Gao²,

Jiang³

et al. 2020

dtcse

View full text Add to dashboard Cite

show abstract

“…The total backscatter is then the sum of these two components, making this model also suitable over the grazing angle range 0° to 90°. The model was later modified in [16] to correct a predicted minimum in the downwind direction that was inconsistent with observations. This change resulted in the model predicting a minimum in the crosswind direction consistent with measurements.…”

Section: ) Models Based On Nathanson's Datamentioning

confidence: 99%

A review of high grazing angle sea-clutter

Watts

Rosenberg

2013

2013 International Conference on Radar

View full text Add to dashboard Cite

This paper reviews the published literature on the characteristics of mono-static radar sea-clutter observed with high grazing angles (typically above about 10°). To date, most of the analysis and modelling of sea-clutter has been undertaken at low grazing angles with the main application being for surface and airborne maritime radars. The paper identifies some of the data sets that have been collected and the empirical models that have been developed from them for the normalised radar crosssection. The amplitude statistics and Doppler spectra of high grazing angle clutter are reviewed and the implications for radar design and target detection are discussed.

show abstract

“…We given by mention in passing that validation of VTRPE is documented, at a minimum, in [ 7], [22 ], [23]. __r = P)G, (Gr /(Tk)) F2LrLtvL f…”

Section: Formulation Of the Problem Tx Antenna Rx Antennamentioning

confidence: 99%

The Role of Propagation Effects in Airborne RF Communication Systems Design

Morton

Sickles

2008

2008 IEEE National Aerospace and Electronics Conference

View full text Add to dashboard Cite

Recent years have seen the emergence of Unmanned propagation including ducting and sea clutter [3]- [8]. With Aerial Systems performing roles that use various Radio the recent advent of UAS, large and small, high altitude and Frequency (RF) systems. Thus, there is a need to use accurate low altitude, Air Force designers must now consider signal and broadly capable signal propagation models to capture propagation in many of their RF system designs. While there multi-path effects as well as atmospheric effects in system are a number of papers proposing and outlining the use of requirements analysis. One such model, the Variable Terrain UAS as communication relay links [9]- [13], there are few Electromagnetic Parabolic Equation (VTRPE) model, enables papers analyzing the propagation effects of terrain the required analysis for a wide range of applications. The work environments on the UAS communication link [14], [15].presented in this paper uses VTRPE to analyze signal propagation in multi-path environments and places the results There are a number of empirically derived multi-path and in a system design context drawing conclusions to aid in atmospheric fading models that can be used to analyze the airborne RF systems design.terrain environment [16]- [19]; however, most of these models are best suited to specific conditions and require significant I. INTRODUCTION effort and expertise from the user. Airborne Radio Frequency (RF) systems are generallyThis paper demonstrates the importance of including comprised of some combination of antenna, receiver, signal propagation effects for airborne RF functions. The transmitter, and processing subsystems, and have numerous particular case considered here is communication link, but the military applications. These include radar, communication analysis can be extended to other functions such as radar. It radio relay, and signal collection among many others. The considers sea and land environments as well as ducting and design of a given airborne RF system depends on system standard atmospheres. For the land environment, both functions and the operational environment.ground-to-air and air-to-ground communication links areThe emergence of Unmanned Aerial Systems (UAS) has considered. Calculated figures of merit include received naturally led to proposals for fitting them with RF payloads. power and signal to noise ratio. The latter is discussed in terms of bit error probability and communication link margin.Most of the parameters in the presented communication link subset of RF applications proposed for UAS. Unlike air-to-air returs is scenarios are given assumed values with the exception of the functions, where the number of multi-path signal returns propagation factor which is modeled by the Navy developed small, the air-to-ground and ground-to-air functions are VTRPE (Variable Terrain Electromagnetic Parabolic susceptible to multi-path return. Multi-path signals arrive at Equation) code. VTRPE provides a simple user interface and the airborne receiver delayed in time with re...

show abstract

Wind aspect factor in sea clutter modeling

Cited by 9 publications

References 1 publication

An Improved SASS Model for Sea Clutter Reflectivity at Ku-band

An Improved SASS Model for Sea Clutter Reflectivity at Ku-band

A review of high grazing angle sea-clutter

The Role of Propagation Effects in Airborne RF Communication Systems Design

Contact Info

Product

Resources

About