A procedure for radar target discrimination is presented in this paper. The scheme includes an enhancement of late-time noisy scattering data based on a proposed signal processing algorithm and a decision procedure using previously known resonance annihilation filters. The signal processing stage is specifically adapted to scattering signals and makes use of the results of the singularity expansion method. It is based on a signal reconstruction using the SVD of a data matrix with a suitable choice of the number of singular vectors employed. To justify the inclusion of this stage, this procedure is shown to maintain the signal characteristics necessary to identify the scattered response. Simulation results clearly reveal a significant improvement due to the inclusion of the proposed stage. This improvement becomes especially important when the noise level is high or the targets to be discriminated (five regular polygonal loops) have a similar geometry.
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Diego-Pablo RUIZ, Antolino GALLEGO, Maria-Carmen CARRION, "Scattered Signal Enhancement Algorithm Applied to Radar Target Discrimination Schemes" in IEICE TRANSACTIONS on Communications,
vol. E82-B, no. 11, pp. 1858-1866, November 1999, doi: .
Abstract: A procedure for radar target discrimination is presented in this paper. The scheme includes an enhancement of late-time noisy scattering data based on a proposed signal processing algorithm and a decision procedure using previously known resonance annihilation filters. The signal processing stage is specifically adapted to scattering signals and makes use of the results of the singularity expansion method. It is based on a signal reconstruction using the SVD of a data matrix with a suitable choice of the number of singular vectors employed. To justify the inclusion of this stage, this procedure is shown to maintain the signal characteristics necessary to identify the scattered response. Simulation results clearly reveal a significant improvement due to the inclusion of the proposed stage. This improvement becomes especially important when the noise level is high or the targets to be discriminated (five regular polygonal loops) have a similar geometry.
URL: https://global.ieice.org/en_transactions/communications/10.1587/e82-b_11_1858/_p
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@ARTICLE{e82-b_11_1858,
author={Diego-Pablo RUIZ, Antolino GALLEGO, Maria-Carmen CARRION, },
journal={IEICE TRANSACTIONS on Communications},
title={Scattered Signal Enhancement Algorithm Applied to Radar Target Discrimination Schemes},
year={1999},
volume={E82-B},
number={11},
pages={1858-1866},
abstract={A procedure for radar target discrimination is presented in this paper. The scheme includes an enhancement of late-time noisy scattering data based on a proposed signal processing algorithm and a decision procedure using previously known resonance annihilation filters. The signal processing stage is specifically adapted to scattering signals and makes use of the results of the singularity expansion method. It is based on a signal reconstruction using the SVD of a data matrix with a suitable choice of the number of singular vectors employed. To justify the inclusion of this stage, this procedure is shown to maintain the signal characteristics necessary to identify the scattered response. Simulation results clearly reveal a significant improvement due to the inclusion of the proposed stage. This improvement becomes especially important when the noise level is high or the targets to be discriminated (five regular polygonal loops) have a similar geometry.},
keywords={},
doi={},
ISSN={},
month={November},}
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TY - JOUR
TI - Scattered Signal Enhancement Algorithm Applied to Radar Target Discrimination Schemes
T2 - IEICE TRANSACTIONS on Communications
SP - 1858
EP - 1866
AU - Diego-Pablo RUIZ
AU - Antolino GALLEGO
AU - Maria-Carmen CARRION
PY - 1999
DO -
JO - IEICE TRANSACTIONS on Communications
SN -
VL - E82-B
IS - 11
JA - IEICE TRANSACTIONS on Communications
Y1 - November 1999
AB - A procedure for radar target discrimination is presented in this paper. The scheme includes an enhancement of late-time noisy scattering data based on a proposed signal processing algorithm and a decision procedure using previously known resonance annihilation filters. The signal processing stage is specifically adapted to scattering signals and makes use of the results of the singularity expansion method. It is based on a signal reconstruction using the SVD of a data matrix with a suitable choice of the number of singular vectors employed. To justify the inclusion of this stage, this procedure is shown to maintain the signal characteristics necessary to identify the scattered response. Simulation results clearly reveal a significant improvement due to the inclusion of the proposed stage. This improvement becomes especially important when the noise level is high or the targets to be discriminated (five regular polygonal loops) have a similar geometry.
ER -