TY - GEN
T1 - Scattering center estimation of HRRP via atomic norm minimization
AU - Wang, Yu
AU - Jiang, Yuan
AU - Wang, Yanhua
AU - Li, Yang
AU - Xu, Jia
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/6/7
Y1 - 2017/6/7
N2 - As the one-dimensional projection of the echoes from scattering centers on a target along the radar line-of-sight, high range resolution profile (HRRP) has drawn great attention to automatic target recognition (ATR). Normally, features are extracted based on the strong scattering centers of HRRP. In recent years, several scattering center estimation methods have been proposed, such as Prony and orthogonal matching pursuit (OMP). Prony needs the number of scattering centers a priori and is sensitive to noise. Due to discretization, OMP may lead to the off-grid effect. In this paper, we propose to estimate the scattering centers via atomic norm minimization (ANM). Similar to OMP, ANM is a sparsity based approach, but the signal is modelled in continuous space, thus alleviating the basis mismatch. Simulation and experimental results demonstrate that ANM achieves higher accuracy in terms of both position and amplitude compared with OMP.
AB - As the one-dimensional projection of the echoes from scattering centers on a target along the radar line-of-sight, high range resolution profile (HRRP) has drawn great attention to automatic target recognition (ATR). Normally, features are extracted based on the strong scattering centers of HRRP. In recent years, several scattering center estimation methods have been proposed, such as Prony and orthogonal matching pursuit (OMP). Prony needs the number of scattering centers a priori and is sensitive to noise. Due to discretization, OMP may lead to the off-grid effect. In this paper, we propose to estimate the scattering centers via atomic norm minimization (ANM). Similar to OMP, ANM is a sparsity based approach, but the signal is modelled in continuous space, thus alleviating the basis mismatch. Simulation and experimental results demonstrate that ANM achieves higher accuracy in terms of both position and amplitude compared with OMP.
KW - Atomic norm minimization
KW - HRRP
KW - Scattering center estimation
KW - Sparse representation
UR - http://www.scopus.com/inward/record.url?scp=85021410011&partnerID=8YFLogxK
U2 - 10.1109/RADAR.2017.7944185
DO - 10.1109/RADAR.2017.7944185
M3 - Conference contribution
AN - SCOPUS:85021410011
T3 - 2017 IEEE Radar Conference, RadarConf 2017
SP - 135
EP - 139
BT - 2017 IEEE Radar Conference, RadarConf 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2017 IEEE Radar Conference, RadarConf 2017
Y2 - 8 May 2017 through 12 May 2017
ER -