TY - GEN
T1 - A New Air Target Orientation Observations Based on Electromagnetic Vortex Radar
AU - Wang, Lin
AU - Tao, Lujing
AU - Li, Zhongyu
AU - Wu, Junjie
AU - Yang, Jianyu
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/11
Y1 - 2019/11
N2 - Being capable of providing weather-independent, day-and-night, forward-looking, without relative motion or beam scanning, and high-resolution images, electromagnetic vortex radar (EMVR) is a promising sensing technique in applications. However, a great quantity of orbital angular momentum (OAM) modes should be applied in the existing EMVR imaging methods to achieve high azimuthal resolution in air target orientation observations, which seriously limits the improvement of resolution in practice. Hence, in this paper, we propose a orthogonal matching pursuit (OMP) algorithm for EMVR air target orientation observations to improve the azimuthal resolution and reduce the number of measurements. Point target simulation is presented in this paper. The simulation results show that the proposed OMP algorithm significantly outperforms the conventional fast Fourier transform (FFT) estimation algorithm in terms of azimuthal resolution when applied to EMVR air target orientation observations.
AB - Being capable of providing weather-independent, day-and-night, forward-looking, without relative motion or beam scanning, and high-resolution images, electromagnetic vortex radar (EMVR) is a promising sensing technique in applications. However, a great quantity of orbital angular momentum (OAM) modes should be applied in the existing EMVR imaging methods to achieve high azimuthal resolution in air target orientation observations, which seriously limits the improvement of resolution in practice. Hence, in this paper, we propose a orthogonal matching pursuit (OMP) algorithm for EMVR air target orientation observations to improve the azimuthal resolution and reduce the number of measurements. Point target simulation is presented in this paper. The simulation results show that the proposed OMP algorithm significantly outperforms the conventional fast Fourier transform (FFT) estimation algorithm in terms of azimuthal resolution when applied to EMVR air target orientation observations.
KW - electromagnetic vortex radar (EMVR)
KW - orbital angular momentum (OAM)
KW - orthogonal matching pursuit (OMP)
KW - target orientation observations
UR - https://www.scopus.com/pages/publications/85083482161
U2 - 10.1109/APSAR46974.2019.9048450
DO - 10.1109/APSAR46974.2019.9048450
M3 - 会议稿件
AN - SCOPUS:85083482161
T3 - 2019 6th Asia-Pacific Conference on Synthetic Aperture Radar, APSAR 2019
BT - 2019 6th Asia-Pacific Conference on Synthetic Aperture Radar, APSAR 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 6th Asia-Pacific Conference on Synthetic Aperture Radar, APSAR 2019
Y2 - 26 November 2019 through 29 November 2019
ER -