Spherical Indoor Facility Applied to Bistatic Radar Cross Section Measurements

Escot-Bocanegra, David; Poyatos-MartÄ±nez, David; Montiel-SÃ¡nchez, Ignacio; Adana, Francisco M. Saez de; Gonzalez, I.

doi:10.2528/pierl11082211

Cited by 6 publications

(3 citation statements)

References 10 publications

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“…Materials are often used to produce absorbing foam sheets or objects with complex geometry (pyramidal absorbers for example), to be used to minimize the radar cross section (RCS) of targets or to assemble anechoic chambers. In this cases, reflection measurements are carried out on large samples, or directly on-site measurement are done [4][5][6][7][8]. Although, permittivity and permeability are intrinsic properties of the materials, absorption properties of large panels or walls depend also on geometry, incoming wave polarization and direction of incidence.…”

Section: Introductionmentioning

confidence: 99%

Absorbing Cross Section in Reverberation Chamber: Experimental and Numerical Results

Gradoni¹,

Micheli²,

Moglie³

et al. 2012

PIER B

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Abstract-Reverberation chamber (RC) test facility allows to determine the absorbing cross section (ACS) of lossy materials under a random field excitation. Measurements are based on the quality factor variation produced by the sample under test presence with respect to the empty chamber condition. Simulations are based on the representation of the RC electromagnetic field by means of a random plane wave superposition. A finite-difference time-domain code is used to compute the material absorbed power and to recover a numerical ACS. The method sensibility is stressed by application to small size samples. Comparison between numerical and experimental data reveals a satisfactory agreement. Results for different materials are presented in the paper: soft foam absorbers, carbon foam sheets, and carbon/carbon sheets.

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Section: Introductionmentioning

confidence: 99%

Absorbing Cross Section in Reverberation Chamber: Experimental and Numerical Results

Gradoni¹,

Micheli²,

Moglie³

et al. 2012

PIER B

View full text Add to dashboard Cite

show abstract

“…In the viewpoint of the anti-stealth technology, detection of low RCS target has been an interest. Multiple-input and multiple-output (MIMO) radar, bistatic radar and multi-static radar [51, 84,85,124,[130][131][132][133][134][135][136][137] have been employed to detect low-RCS target. Pulse compression proved to be an effective way to enhance the performance of radar target detection and recognition [138][139][140].…”

Section: Introductionmentioning

confidence: 99%

Effect of Threshold Value on the Performance of Natural Frequency-Based Radar Target Recognition

Cho¹,

Lee²

2013

PIER

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Abstract-In this paper, the performance analysis of the natural frequency-based radar target recognition in the time domain is considered. We investigate the dependence of the probability of correct classification on a specific threshold value, and determine the optimum threshold value for two targets, and the sub-optimal threshold for multiple targets to maximize the probability of correct classification. Based on the probability density function (PDF) of some quantity consisting of the projections of the late time response onto the column spaces of the matrices constructed using the natural frequencies of the specific targets, we propose how to determine an optimum threshold in the sense that the probability of correct classification of two targets is maximized. By extending the scheme for two targets, we show how to determine a threshold value close to the optimal threshold for multiple targets. The scheme is validated by comparing the performance using the analytic method with that using the Monte-Carlo simulation.

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“…Among several radar signatures, the range profile (RP) shows the unique one dimensional distribution of the radar cross-section [2][3][4][5][6][7][8][9] of the automobile and can be effectively used for classification of automobiles which can contribute to anti-collision, lane-change, and automobile control regardless of weather and day-night conditions [10]. RP can also provide two-dimensional radar image of automobiles if the synthetic aperture radar (SAR) [11][12][13][14][15][16][17][18], the inverse SAR [19] and the jet engine modulation [20] techniques are applied.…”

Section: Introductionmentioning

confidence: 99%

Efficient Classification of Low-Resolution Range Profiles of Automobiles Using a Combination of Useful Features

Jung¹,

Park²

2013

PIER

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Abstract-The range profile (RP) of an automobile is derived by compressing the wideband radar signal, and it can be utilized for the classification and thus contribute to lane change and collision avoidance. However, the limited radar bandwidth due to the cost and the system complexity impedes the successful classification. This paper proposes an efficient method to construct an efficient feature vector of the automobile RP through combined use of the central moment, the information on the maximum-minimum and the peak information. Simulation results using the five automobile models composed of point scatterers and a simple nearest neighbor classifier prove that the proposed method improves the classification result, especially in the multi-aspect classification.

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Spherical Indoor Facility Applied to Bistatic Radar Cross Section Measurements

Cited by 6 publications

References 10 publications

Absorbing Cross Section in Reverberation Chamber: Experimental and Numerical Results

Absorbing Cross Section in Reverberation Chamber: Experimental and Numerical Results

Effect of Threshold Value on the Performance of Natural Frequency-Based Radar Target Recognition

Efficient Classification of Low-Resolution Range Profiles of Automobiles Using a Combination of Useful Features

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