Estimating the time-delay and frequency decay parameter of scattering components using a modified MUSIC algorithm

Moghaddar, A.; Ogawa, Yasutaka; Walton, E.K.

doi:10.1109/8.320748

Cited by 51 publications

(34 citation statements)

References 19 publications

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“…One need not employ reduced complexity models, but instead can consider computationally simpler methods to estimate the parameters in (8). Such algorithms have been proposed in [32]- [36]. However, for many radar system operating specifications, the bias incurred by using a model simpler than (8) is small compared to the parameter variances.…”

Section: Reduced Complexity Modelsmentioning

confidence: 99%

Attributed scattering centers for SAR ATR

Potter

Moses

1997

IEEE Trans. on Image Process.

451

210

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Abstract-High-frequency radar measurements of man-made targets are dominated by returns from isolated scattering centers, such as corners and flat plates. Characterizing the features of these scattering centers provides a parsimonious, physically relevant signal representation for use in automatic target recognition (ATR). In this paper, we present a framework for feature extraction predicated on parametric models for the radar returns. The models are motivated by the scattering behavior predicted by the geometrical theory of diffraction. For each scattering center, statistically robust estimation of model parameters provides highresolution attributes including location, geometry, and polarization response. We present statistical analysis of the scattering model to describe feature uncertainty, and we provide a leastsquares algorithm for feature estimation. We survey existing algorithms for simplified models, and derive bounds for the error incurred in adopting the simplified models. A model order selection algorithm is given, and an M-ary generalized likelihood ratio test is given for classifying polarimetric responses in spherically invariant random clutter.

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Section: Reduced Complexity Modelsmentioning

confidence: 99%

Attributed scattering centers for SAR ATR

Potter

Moses

1997

IEEE Trans. on Image Process.

451

210

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“…The Root-MUSIC method [2] can analyze scattered waves, including those exponentially attenuating. Further, an improved Root-MUSIC method [3] has been proposed that can analyze approximately the frequency characteristics of scattered waves with arbitrary frequency characteristics by adding a correction to the Root-MUSIC method.…”

Section: Introductionmentioning

confidence: 99%

Considerations on estimation accuracy improvement of modified root-MUSIC algorithm for frequency dispersion detection of electromagnetic scattering wave

Itaba

Yamada

Yamaguchi

2001

Electron. Comm. Jpn. Pt. I

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“…The model for the backscattered electric field, E, of multiple timeof-arrival events from ray-optical behaviors can be written as an exponential function of frequency [4][5][6][7][8]:…”

Section: The Frequency-dependent Modelmentioning

confidence: 99%

“…Hurst and Mittra used a complex time-of-arrival model in conjunction with Prony's method to model the frequency dependence [4]. Moghaddar et al applied a frequency pre-multiplier and a modified MUSIC algorithm in [5] to extract the frequency-dependent factor. Potter et al utilized maximum likelihood algorithms for the same purpose [6].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Broadband Scattering Data Interpolation Based on a Relaxed Adaptive Feature Extraction Algorighm

Raynal¹,

Moore²,

Líu³

2006

PIER

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Abstract-A method using a relaxed adaptive feature extraction algorithm is investigated to interpolate broadband, high-frequency scattering from sparse, undersampled data. First, the adaptive feature extraction is extended to include a frequency-dependent scattering center model in order to better-describe broadband scattering physics from a complex target per the geometrical theory of diffraction. Second, the parameterization of the model is relaxed for more accurate extractions and a sparser model representation using fewer samples. Comparative results are presented for the relaxed versus the non-relaxed adaptive feature extraction algorithm for hypothetical examples and a numerically-solved ogive body of revolution. The relaxed algorithm is more computationally expensive, but results in significantly improved performance. The technique enhances adaptive feature extraction performance for broadband interpolation.

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Estimating the time-delay and frequency decay parameter of scattering components using a modified MUSIC algorithm

Cited by 51 publications

References 19 publications

Attributed scattering centers for SAR ATR

Attributed scattering centers for SAR ATR

Considerations on estimation accuracy improvement of modified root-MUSIC algorithm for frequency dispersion detection of electromagnetic scattering wave

Broadband Scattering Data Interpolation Based on a Relaxed Adaptive Feature Extraction Algorighm

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