Full wave solutions for rough‐surface bistatic radar cross sections: Comparison with small perturbation, physical optics, numerical, and experimental results

Bahar, E.; Lee, Bom Son

doi:10.1029/93rs03444

Cited by 40 publications

(20 citation statements)

References 28 publications

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“…Many well-known wave scattering models (e.g., the Kirchhoff approximation model (Ishimaru, 1978;Tsang et al, 1985); the full wave solutions model (Bahar and Lee, 1994;Bahar and Zhang, 1996;Bahar and Shi, 1998); etc.) used in the remote sensing of the sea surface were derived with the assumption that both the one-point distribution and the two-point joint distribution of instantaneous sea surface elevations are described by the Gaussain distribution laws.…”

Section: Introductionmentioning

confidence: 99%

Joint statistical distribution of two-point sea surface elevations in finite water depth

Song¹,

Wei²,

Hou³

2004

Coastal Engineering

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Section: Introductionmentioning

confidence: 99%

Joint statistical distribution of two-point sea surface elevations in finite water depth

Song¹,

Wei²,

Hou³

2004

Coastal Engineering

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“…At K a -Band frequencies this is not true for the plates considered here, so one would use small perturbation theory to describe the effect of slight roughness on the plate backscatter. The first order perturbation on the PO fields can be determined assuming Gaussian surface statistics (10)(11)(12)(13). The perturbation term depends on the surface statistics through the twodimensional spectral power density function, and the large scale roughness (waviness) would dominate the influence of the irregular surface compared to a smooth plate.…”

Section: Comparing Normal and Exponential Surface Distributions At K mentioning

confidence: 99%

Armor Plate Surface Roughness Measurements

Stanton¹,

Coburn²,

Pizzillo³

2005

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Sensors and Electron Devices Directorate, ARLApproved for public release; distribution unlimited.ii REPORT DOCUMENTATION PAGEForm Public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection information. Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing the burden, to Department of Defense, Washington Headquarters Services, Directorate for Information Operations and Reports (0704-0188), 1215 Jefferson Davis Highway, Suite 1204, Arlington, VA 22202-4302. Respondents should be aware that notwithstanding any other provision of law, no person shall be subject to any penalty for failing to comply with a collection of information if it does not display a currently valid OMB control number. PLEASE DO NOT RETURN YOUR FORM TO THE ABOVE ADDRESS. REPORT DATE (DD-MM-YYYY) April 20052. REPORT TYPE ARL-TR-3498 SPONSOR/MONITOR'S ACRONYM(S) 9. SPONSORING/MONITORING AGENCY NAME(S) AND ADDRESS(ES) U.S. Army Research Laboratory 2800 Powder Mill Road Adelphi, MD 20783-1197 SPONSOR/MONITOR'S REPORT NUMBER(S) DISTRIBUTION/AVAILABILITY STATEMENTApproved for public release; distribution unlimited. SUPPLEMENTARY NOTES ABSTRACTThe accuracy and limitations of DoD high frequency radar signature prediction codes depend on the approximations included in the underlying algorithms. At K a -Band and above, accurate representation of the target surfaces becomes a limiting factor in the electromagnetic simulation, since the resolution requirements are on the same order as fabrication tolerances. Even if accurate representations of test vehicles can be obtained, there may still be discrepancies in the modeled surface condition (i.e., surface texture and coatings) that could become important at high frequency. We measure waviness and roughness of various plates to know the parameter range for smooth aluminum and rolled homogenous armor (RHA). We also modify the plates by grit blasting to determine how parameters might change during surface preparation for painting. Using these roughness parameters and typical electrical characteristics for paint, we can estimate the effect of surface condition on RCS predictions at K a -Band. For the painting process and surface roughness typical of ground vehicles, theory predicts only a small difference compared to smooth metal targets.

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“…11 are given by The matrix P involves reflection coefficients in the local reference system [7]. Assuming the magnetic permeability ,ur = 1 where (20) in which So, CO (real), SI and C1 (complex) are sine and cosine of incident and transmitted field angles, accounting for the complex relative dielectric constant…”

Section: Appendixmentioning

confidence: 99%

EM models for evaluating rain perturbation on the NRCS of the sea surface observed near nadir

Capolino

Facheris

Giuli

et al. 1998

IEE Proc., Radar Sonar Navig.

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Abstract:The authors address the problem of evaluating the normalised radar cross section gURCS) of the sea surface perturbed by the joint effect of rain and wind, when observed close to nadir. They present a model, based on the full wave theory, for evaluating such an NRCS when varying polarisation, frequency and incidence angle (not far from nadir) for different values of wind velocity and of the root mean square height of the corrugation induced by rainfall. Some comparisons are made with the integral equation model results in the case of rain-induced corrugation alone. The two models are found to be in good agreement. In addition, partial comparisons made with experimental data suggest that the proposed model is well grounded and exploitable for application. It is indeed expected that the model can be exploited to improve precipitation measurements over the sea through spaceborne rain radar and to improve wind measurements using scatterometers in the presence of rain.

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Full wave solutions for rough‐surface bistatic radar cross sections: Comparison with small perturbation, physical optics, numerical, and experimental results

Cited by 40 publications

References 28 publications

Joint statistical distribution of two-point sea surface elevations in finite water depth

Joint statistical distribution of two-point sea surface elevations in finite water depth

Armor Plate Surface Roughness Measurements

EM models for evaluating rain perturbation on the NRCS of the sea surface observed near nadir

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