1-D feature extraction using a dispersive scattering center parametric model

Fuller, Dane F.; Terzuoli, A.J.; Collins, P.J.; Williams, Robert L.

doi:10.1109/aps.1998.702190

Cited by 8 publications

(5 citation statements)

References 11 publications

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“…(6) The propagation speed ofthe radar signal is the speed oflight, or C 3x 108 m Is; (7) The radar platform is about 90km away from the targets, or R0 90 x 1 3m (8) The depression angle of the radar system is 15° or 17°; (1 1)The minimum detectable target radial speed is 2.3 mIs, or V11 = 2.3m I s , which is determined by the main-lobewidth of the radar antenna. (12) Given that the maximum detectable target ground speed is 198 km/hour, or about 124 mile/hour, the maximum target radial speed is about Vnax 53m Is .This value also determine the selection ofthe interval time T oftwo pulses; (13)The total length ofthe range swatch is 500m, or Lnax 500m;…”

Section: Parameters Of Radar System and Targetmentioning

confidence: 98%

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<title>Derivation of physics-based HRR moving target models</title>

Ahalt

2000

SPIE Proceedings

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Although Synthetic Aperture Radar (SAR) has demonstrated excellent performance in stationary target identification, SAR resolution suffers in moving target scenarios. High Range Resolution (HRR) radar appears to be an attractive alternative in applications to moving target identification because HRR target signatures can provide target scatterer information with high range resolution. Since many HRR processing steps, such as feature extraction and clutter suppression, are based on underlying modeling assumptions, devising a reliable physics-based HRR model for moving targets has become an increasingly important topic. In this paper, we derive a scattering-based HRR moving target model. However, the general form of the derived model is quite complex, and this complexity makes subsequent analysis difficult. We therefore simplify the complex model to obtain different simplified versions that facilitate the utility of the models. Simplification is achieved by instantiating the parameters in this model with radar and target parameters from the real world, and then retaining only those terms with dominant values. A series of reliable, yet theoretically tractable models, are obtained with different degrees of simplification. The contributions of this paper are as follows:(1) Two new physics-based HRR moving target models with different degrees of simplification are presented;(2) These models make no assumptions regarding the distribution of the clutter;(3) Performance boundaries on the subsequent feature extraction algorithms are derived and delineated.

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Section: Parameters Of Radar System and Targetmentioning

confidence: 98%

“…where Wk 2$k ' and 0Dk WDkT Substituting (12) in (10), we can obtain the fmal simplified model: D(n,l) = ak exp{jØ}exp{jkn}exp{jDkl}+e(n,l) (13) where n=O...N-1;l=O...L--1. The model (13) can be simply expressed in matrix form as:…”

Section: Model Simplificationmentioning

confidence: 99%

<title>Derivation of physics-based HRR moving target models</title>

Ahalt

2000

SPIE Proceedings

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“…GTD assumes that the target backscatter is issued from a series of discrete scattering centers [6,8], and these scattering centers have a frequency-dependent factor (jf /f c ) α . The RCS of a target is assumed to be the synthesis of this series of GTD scattering centers,…”

Section: Gtd Scattering Modelmentioning

confidence: 99%

“…Currently, it is always applied to describing the characteristics of ultra-wideband radar scattering center, including exponential model, damped exponential (DE) model and GTD model. The GTD model is based on localized high-frequency scattering theory [1,3,[6][7][8]. It multiplies the intensity by an exponential of frequency so that the model could reflect the range, the intensity and the frequency-dependent factor information of the scattering center, which is much more similar to the actual target scattering mechanism.…”

Section: Introductionmentioning

confidence: 99%

A GTD model and state space approach based method for extracting the UWB scattering center of moving target

Wang

Wei

Sun

et al. 2010

Sci. China Inf. Sci.

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Movements of the scattering center on the condition of ultra-wideband (UWB) will impact the extraction of parameters. This paper presents an approach for extracting the moving targets' UWB scattering center parameters based on the geometrical theory of diffraction (GTD) model and the state space approach. Firstly, the UWB GTD scattering model is transformed into state-space equations in order to estimate the range and range rate through the singular value decomposition. Secondly, the type parameter in the whole bandwidth is indicated dimension-reducedly by orthonormalized basis and estimated by traversal algorithm and minimumnorm algorithm. Finally, the intensity of scattering center is worked out based on the least square method. The paper provides the Cramer-Rao bound (CRB) for parameter estimation. The effectiveness of the approach is verified by computer simulation. The approach can estimate range, range rate, reflection intensity and type parameter simultaneously in order to improve the track of scattering centers and the target identification. CitationWang J, Wei S M, Sun J P, et al. A GTD model and state space approach based method for extracting the UWB scattering center of moving target.

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其中 s 为散射中心数目, Γ s 为散射中心散射强度, r s 为雷达到散射中心的径向距离, v(f ) 为白噪声.GTD 假定目标的后向散射从一系列离散散射中心发出 [6,8] , 这些散射中心都存在一个频率依赖因子 (jf /f c ) α , 则目标的 RCS 假定由这一系列的 GTD 散射中心合成,其中类型参数 α = n/2, n 为小的正整数或负整数, 它与目标的外形参数相关, 可作为目标识别的特征量. 对散射点存在运动的目标, 当径向距离上目标的各散射中心不能分辨时, 可以采用径向速度来对各散射中心进行分辨, 因此这里在 GTD 模型中引入径向速度 ṙs , 并且假设短时间内散射中心的径向速度保持不变,

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