High-Resolution Radar Image Reconstruction Using an Arbitrary Array

Toshio WAKAYAMA; Toru SATO; Iwane KIMURA

High-Resolution Radar Image Reconstruction Using an Arbitrary Array

Toshio WAKAYAMA, Toru SATO, Iwane KIMURA

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Radar imaging technique is one of the most powerful tool for underground detection. However, performance of conventional methods is not sufficiently high when the observational direction or the aperture size is restricted. In the present paper, an image reconstruction method based on a model fitting with nonlinear least-squares has been developed, which is applicable to arbitrarily arranged arrays. Reconstruction is executed on the assumption that targets consist of discrete point scatterers embedded in a homogeneous medium. Model fitting is iterated as the number of point target in the assumed model is increased, until the residual in fitting becomes unchanged or small enough. A penalty function is used in nonlinear least-squares to make the algorithm stable. Fundamental characteristics of the method revealed with computer simulation are described. This method focuses a much sharper image than that obtained by the conventional aperture synthesis technique.

Publication: IEICE TRANSACTIONS on Communications Vol.E76-B No.10 pp.1305-1312

Publication Date: 1993/10/25

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Type of Manuscript: Special Section PAPER (Special Issue on Radar Technology)

Category: Subsurface Radar

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Toshio WAKAYAMA, Toru SATO, Iwane KIMURA, "High-Resolution Radar Image Reconstruction Using an Arbitrary Array" in IEICE TRANSACTIONS on Communications, vol. E76-B, no. 10, pp. 1305-1312, October 1993, doi: .
Abstract: Radar imaging technique is one of the most powerful tool for underground detection. However, performance of conventional methods is not sufficiently high when the observational direction or the aperture size is restricted. In the present paper, an image reconstruction method based on a model fitting with nonlinear least-squares has been developed, which is applicable to arbitrarily arranged arrays. Reconstruction is executed on the assumption that targets consist of discrete point scatterers embedded in a homogeneous medium. Model fitting is iterated as the number of point target in the assumed model is increased, until the residual in fitting becomes unchanged or small enough. A penalty function is used in nonlinear least-squares to make the algorithm stable. Fundamental characteristics of the method revealed with computer simulation are described. This method focuses a much sharper image than that obtained by the conventional aperture synthesis technique.
URL: https://globals.ieice.org/en_transactions/communications/10.1587/e76-b_10_1305/_p

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@ARTICLE{e76-b_10_1305,
author={Toshio WAKAYAMA, Toru SATO, Iwane KIMURA, },
journal={IEICE TRANSACTIONS on Communications},
title={High-Resolution Radar Image Reconstruction Using an Arbitrary Array},
year={1993},
volume={E76-B},
number={10},
pages={1305-1312},
abstract={Radar imaging technique is one of the most powerful tool for underground detection. However, performance of conventional methods is not sufficiently high when the observational direction or the aperture size is restricted. In the present paper, an image reconstruction method based on a model fitting with nonlinear least-squares has been developed, which is applicable to arbitrarily arranged arrays. Reconstruction is executed on the assumption that targets consist of discrete point scatterers embedded in a homogeneous medium. Model fitting is iterated as the number of point target in the assumed model is increased, until the residual in fitting becomes unchanged or small enough. A penalty function is used in nonlinear least-squares to make the algorithm stable. Fundamental characteristics of the method revealed with computer simulation are described. This method focuses a much sharper image than that obtained by the conventional aperture synthesis technique.},
keywords={},
doi={},
ISSN={},
month={October},}

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TY - JOUR
TI - High-Resolution Radar Image Reconstruction Using an Arbitrary Array
T2 - IEICE TRANSACTIONS on Communications
SP - 1305
EP - 1312
AU - Toshio WAKAYAMA
AU - Toru SATO
AU - Iwane KIMURA
PY - 1993
DO -
JO - IEICE TRANSACTIONS on Communications
SN -
VL - E76-B
IS - 10
JA - IEICE TRANSACTIONS on Communications
Y1 - October 1993
AB - Radar imaging technique is one of the most powerful tool for underground detection. However, performance of conventional methods is not sufficiently high when the observational direction or the aperture size is restricted. In the present paper, an image reconstruction method based on a model fitting with nonlinear least-squares has been developed, which is applicable to arbitrarily arranged arrays. Reconstruction is executed on the assumption that targets consist of discrete point scatterers embedded in a homogeneous medium. Model fitting is iterated as the number of point target in the assumed model is increased, until the residual in fitting becomes unchanged or small enough. A penalty function is used in nonlinear least-squares to make the algorithm stable. Fundamental characteristics of the method revealed with computer simulation are described. This method focuses a much sharper image than that obtained by the conventional aperture synthesis technique.
ER -