Clutter Characteristics and Effects

Currie, N. C.

doi:10.1007/978-1-4613-1971-9_10

Cited by 12 publications

(11 citation statements)

References 7 publications

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“…Table 1 shows the squares of errors of MP-NARMAX, GMDH, and NARMAX for RLCR modeling. GIT Model [22] is accurate, however it is inconvenient for its variety of pertinent parameters. So in Fig.2 GIT Model [22] is absent.…”

Section: Identification Of Rlcrmentioning

confidence: 99%

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A simplified NARMAX method using nonlinear input-output data

Chen

Feng

2007

J. Control Theory Appl.

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A system identification method for nonlinear systems with unknown structure is presented using short input-output data. The method simplifies the original NARMAX method. It introduces more general model structures for nonlinear systems. The group method of data handling (GMDH) method is employed to obtain the model terms and parameters. Effectiveness of the proposed method is illustrated by a typical nonlinear system with unknown structure and deficient input-output data.

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Section: Identification Of Rlcrmentioning

confidence: 99%

“…GIT Model [22] is accurate, however it is inconvenient for its variety of pertinent parameters. So in Fig.2 GIT Model [22] is absent. From Fig.2 the proposed model (20) of RLCR for desert terrain is preferable because it reflects RLCR mechanism to a great extent and fits measurements well.…”

Section: Identification Of Rlcrmentioning

confidence: 99%

A simplified NARMAX method using nonlinear input-output data

Chen

Feng

2007

J. Control Theory Appl.

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“…The electromagnetic model in this method is accurate enough in the simulated scene, however this method maybe more reasonable if it considered the following two: one is its high computation complexity, and the other is its unconformity in the real scene. [10] provides a set of fitted CBC models based on the measured intensity by radar. This method is much simpler than the former one, whereas the adoptive local slope angle (lower than 45 ) is inapplicable in the spaceborne SAR simulation.…”

Section: Fig2 Process Of Instantaneous Slant Range Evaluationmentioning

confidence: 99%

A two-level simulator for spaceborne SAR

Zhu

Xiang

Wang

et al. 2009

2009 2nd Asian-Pacific Conference on Synthetic Aperture Radar

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A novel two-level simulator for spaceborne Synthetic Aperture Radar (SAR) is presented in this paper, and this simulator consists of two different simulation levels: the raw signal level and the image level and the implementations are discussed in detail. For the raw signal level, a new model with higher computation efficiency based on Graphic Processor Unit (GPU) to generate the radar echoes is proposed. For the image level, an efficient approach to create single-look image is processed. Finally some experimental results by the novel simulator are presented. These results demonstrate not only the validity of the proposed simulator but also the conformability of the two simulation levels.

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“…Take the points 2 P and 3 P as example, if 2 3 x x , and 2 3 ' ' OP OP , the point 3 P is sheltered by the shadow of 2 P and the shadow function of point 3 P is set to be zero. The empirical models in [14] and [15] are used in the current work.…”

Section: B Shadow Processingmentioning

confidence: 99%

“…For the local incidence angle is larger than 80 degree for the grass scene, the empirical model in [14] is adapted:…”

Section: B Shadow Processingmentioning

confidence: 99%

A procedure for InSAR raw data simulation of complex radar scenes

Li¹,

Xin²,

Xu³

2013

5th IET International Conference on Wireless, Mobile and Multimedia Networks (ICWMMN 2013)

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Based on three-dimensional (3-D) modeling technique, a procedure for interferometric synthetic aperture radar (InSAR) raw data simulation of complex radar scenes is proposed. 3-D models are used to describe the geometries of the scene as well as the distribution of the different scattering characteristics of targets in the scene. A modification to conventional processing of shadowing is made to adapt the irregular grids of the 3-D models. Numerical simulation results demonstrate the validity and usefulness of the proposed technique.

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Clutter Characteristics and Effects

Cited by 12 publications

References 7 publications

A simplified NARMAX method using nonlinear input-output data

A simplified NARMAX method using nonlinear input-output data

A two-level simulator for spaceborne SAR

A procedure for InSAR raw data simulation of complex radar scenes

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