TY - GEN
T1 - Parametric representation of radar signatures using three-dimensional augmented state space approach
AU - Wu, Kejiang
AU - He, Xiaoyu
AU - Xu, Xiaojian
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/9
Y1 - 2019/9
N2 - In this paper, a three-dimensional (3-D) augmented state space approach (ASSA) is proposed for parametric representation of the radar signatures collected on targets. The 3-D radar signatures obtained from different azimuth and elevation angles are regarded as the summation of returned signatures from discrete scattering centers which are characterized via pairing the amplitudes and poles in three orthogonal plans (down range, azimuth and elevation dimension). A single augmented Hankel matrix is developed for pole estimation of the down range dimension. Multiple range search scheme, which translates the large matrix composed of all 3-D radar signatures into multiple smaller pairing matrices, is used for parameter estimation of the other two dimensions. Effectiveness of the proposed approach is tested on two numerical data, i.e. signatures composed of scattering points as well as the signatures of a sphere tipped cone-cylinder-frustum combination model. The result demonstrates that 3-D ASSA could provide robust and accurate parametric representation results in the presence of noise. In addition, it is also suitable for signal reconstruction with high compression ratio.
AB - In this paper, a three-dimensional (3-D) augmented state space approach (ASSA) is proposed for parametric representation of the radar signatures collected on targets. The 3-D radar signatures obtained from different azimuth and elevation angles are regarded as the summation of returned signatures from discrete scattering centers which are characterized via pairing the amplitudes and poles in three orthogonal plans (down range, azimuth and elevation dimension). A single augmented Hankel matrix is developed for pole estimation of the down range dimension. Multiple range search scheme, which translates the large matrix composed of all 3-D radar signatures into multiple smaller pairing matrices, is used for parameter estimation of the other two dimensions. Effectiveness of the proposed approach is tested on two numerical data, i.e. signatures composed of scattering points as well as the signatures of a sphere tipped cone-cylinder-frustum combination model. The result demonstrates that 3-D ASSA could provide robust and accurate parametric representation results in the presence of noise. In addition, it is also suitable for signal reconstruction with high compression ratio.
KW - Damped exponential (DE) model
KW - Inverse synthetic aperture radar (ISAR)
KW - Parametric representation
KW - Radar signatures
KW - State space approach (SSA)
UR - https://www.scopus.com/pages/publications/85074936906
U2 - 10.1109/ICEAA.2019.8879352
DO - 10.1109/ICEAA.2019.8879352
M3 - 会议稿件
AN - SCOPUS:85074936906
T3 - Proceedings of the 2019 21st International Conference on Electromagnetics in Advanced Applications, ICEAA 2019
SP - 968
EP - 973
BT - Proceedings of the 2019 21st International Conference on Electromagnetics in Advanced Applications, ICEAA 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 21st International Conference on Electromagnetics in Advanced Applications, ICEAA 2019
Y2 - 9 September 2019 through 13 September 2019
ER -