High-fidelity inhomogeneous ground clutter simulation of airborne phased array PD radar aided by digital elevation model and digital land classification data

Computing and Communications

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https://doi.org/10.3390/s18092925
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High-fidelity inhomogeneous ground clutter simulation of airborne phased array PD radar aided by digital elevation model and digital land classification data. / Li, H.; Wang, J.; Fan, Y. et al.
In: Sensors, Vol. 18, No. 9, 2925, 03.09.2018.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Bibtex

@article{ec1d0281e3674d6f8044f66ccf80a362,

title = "High-fidelity inhomogeneous ground clutter simulation of airborne phased array PD radar aided by digital elevation model and digital land classification data",

abstract = "This paper presents a high-fidelity inhomogeneous ground clutter simulation method for airborne phased array Pulse Doppler (PD) radar aided by a digital elevation model (DEM) and digital land classification data (DLCD). The method starts by extracting the basic geographic information of the Earth{\textquoteright}s surface scattering points from the DEM data, then reads the Earth{\textquoteright}s surface classification codes of Earth{\textquoteright}s surface scattering points according to the DLCD. After determining the landform types, different backscattering coefficient models are selected to calculate the backscattering coefficient of each Earth surface scattering point. Finally, the high-fidelity inhomogeneous ground clutter simulation of airborne phased array PD radar is realized based on the Ward model. The simulation results show that the classifications of landform types obtained by the proposed method are more abundant, and the ground clutter simulated by different backscattering coefficient models is more real and effective. {\textcopyright} 2018 by the authors. Licensee MDPI, Basel, Switzerland.",

keywords = "DEM, DLCD, Ground clutter, High-fidelity, Inhomogeneous, Backscattering, Clutter (information theory), Digital instruments, Geomorphology, Landforms, Plasma interactions, Radar, Radar clutter, Surface scattering, Surveying, Backscattering coefficients, Digital elevation model, Geographic information, Surface Classification, Classification (of information)",

author = "H. Li and J. Wang and Y. Fan and Jungong Han",

year = "2018",

month = sep,

day = "3",

doi = "10.3390/s18092925",

language = "English",

volume = "18",

journal = "Sensors",

issn = "1424-8220",

publisher = "Multidisciplinary Digital Publishing Institute (MDPI)",

number = "9",

}

RIS

TY - JOUR

T1 - High-fidelity inhomogeneous ground clutter simulation of airborne phased array PD radar aided by digital elevation model and digital land classification data

AU - Li, H.

AU - Wang, J.

AU - Fan, Y.

AU - Han, Jungong

PY - 2018/9/3

Y1 - 2018/9/3

N2 - This paper presents a high-fidelity inhomogeneous ground clutter simulation method for airborne phased array Pulse Doppler (PD) radar aided by a digital elevation model (DEM) and digital land classification data (DLCD). The method starts by extracting the basic geographic information of the Earth’s surface scattering points from the DEM data, then reads the Earth’s surface classification codes of Earth’s surface scattering points according to the DLCD. After determining the landform types, different backscattering coefficient models are selected to calculate the backscattering coefficient of each Earth surface scattering point. Finally, the high-fidelity inhomogeneous ground clutter simulation of airborne phased array PD radar is realized based on the Ward model. The simulation results show that the classifications of landform types obtained by the proposed method are more abundant, and the ground clutter simulated by different backscattering coefficient models is more real and effective. © 2018 by the authors. Licensee MDPI, Basel, Switzerland.

AB - This paper presents a high-fidelity inhomogeneous ground clutter simulation method for airborne phased array Pulse Doppler (PD) radar aided by a digital elevation model (DEM) and digital land classification data (DLCD). The method starts by extracting the basic geographic information of the Earth’s surface scattering points from the DEM data, then reads the Earth’s surface classification codes of Earth’s surface scattering points according to the DLCD. After determining the landform types, different backscattering coefficient models are selected to calculate the backscattering coefficient of each Earth surface scattering point. Finally, the high-fidelity inhomogeneous ground clutter simulation of airborne phased array PD radar is realized based on the Ward model. The simulation results show that the classifications of landform types obtained by the proposed method are more abundant, and the ground clutter simulated by different backscattering coefficient models is more real and effective. © 2018 by the authors. Licensee MDPI, Basel, Switzerland.

KW - DEM

KW - DLCD

KW - Ground clutter

KW - High-fidelity

KW - Inhomogeneous

KW - Backscattering

KW - Clutter (information theory)

KW - Digital instruments

KW - Geomorphology

KW - Landforms

KW - Plasma interactions

KW - Radar

KW - Radar clutter

KW - Surface scattering

KW - Surveying

KW - Backscattering coefficients

KW - Digital elevation model

KW - Geographic information

KW - Surface Classification

KW - Classification (of information)

U2 - 10.3390/s18092925

DO - 10.3390/s18092925

M3 - Journal article

VL - 18

JO - Sensors

JF - Sensors

SN - 1424-8220

IS - 9

M1 - 2925

ER -

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