TY - GEN
T1 - UWB-Radar Target Scattering Characteristic Estimation Method Using Joint Low-Rank and Sparse Characteristic
AU - Huang, Peng
AU - Hai, Yu
AU - Li, Zhongyu
AU - Yang, Haiguang
AU - Wu, Junjie
AU - Yang, Jianyu
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - In UWB (ultra-wideband) radar imaging, there are differences in the signal scattering characteristics of targets for different frequencies. The estimation of target scattering characteristics is an important research field in target recognition and structured imaging. To solve this problem, this paper combines the target scattering characteristic estimation and super-resolution imaging into a low-rank and sparse signal reconstruction problem. It proposes an ADMM (the alternating direction algorithm of multiplier) scattering characteristic estimation algorithm based on low-rank and sparse signal. First, the echo model of UWB signal is established according to GTD model. Then build the corresponding complete dictionary. Finally, the ADMM-LS algorithm is used to solve the multi-objective joint optimization problem. Numerical simulation experiments verify the algorithm to prove the effectiveness of the proposed method.
AB - In UWB (ultra-wideband) radar imaging, there are differences in the signal scattering characteristics of targets for different frequencies. The estimation of target scattering characteristics is an important research field in target recognition and structured imaging. To solve this problem, this paper combines the target scattering characteristic estimation and super-resolution imaging into a low-rank and sparse signal reconstruction problem. It proposes an ADMM (the alternating direction algorithm of multiplier) scattering characteristic estimation algorithm based on low-rank and sparse signal. First, the echo model of UWB signal is established according to GTD model. Then build the corresponding complete dictionary. Finally, the ADMM-LS algorithm is used to solve the multi-objective joint optimization problem. Numerical simulation experiments verify the algorithm to prove the effectiveness of the proposed method.
KW - ADMM-LS
KW - Estimation of Scattering Characteristics
KW - Sparse Signal Reconstruction
KW - UWB Radar
UR - https://www.scopus.com/pages/publications/85178334475
U2 - 10.1109/IGARSS52108.2023.10282414
DO - 10.1109/IGARSS52108.2023.10282414
M3 - 会议稿件
AN - SCOPUS:85178334475
T3 - International Geoscience and Remote Sensing Symposium (IGARSS)
SP - 6037
EP - 6040
BT - IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2023
Y2 - 16 July 2023 through 21 July 2023
ER -