The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
본 논문에서는 레이더 표적 식별 절차를 제시합니다. 이 방식에는 제안된 신호 처리 알고리즘을 기반으로 하는 후기 시간 잡음 산란 데이터의 향상과 이전에 알려진 공명 소멸 필터를 사용한 결정 절차가 포함됩니다. 신호 처리 단계는 신호 산란에 특히 적합하며 특이점 확장 방법의 결과를 활용합니다. 이는 사용된 단일 벡터 수를 적절하게 선택하여 데이터 행렬의 SVD를 사용하는 신호 재구성을 기반으로 합니다. 이 단계의 포함을 정당화하기 위해 이 절차는 산란된 응답을 식별하는 데 필요한 신호 특성을 유지하는 것으로 표시됩니다. 시뮬레이션 결과는 제안된 단계를 포함함으로써 상당한 개선이 있음을 분명히 보여줍니다. 이러한 개선은 소음 수준이 높거나 식별할 대상(5개의 정다각형 루프)이 유사한 형상을 가질 때 특히 중요합니다.
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부
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
부
@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},}
부
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 -