Sorry, you need to enable JavaScript to visit this website.

ORBITAL ANGULAR MOMENTUM-BASED TWO-DIMENSIONAL SUPER-RESOLUTION TARGETS IMAGING

Citation Author(s):
Rui Chen, Wen-xuan Long, Yue Gao and Jiandong Li
Submitted by:
WX Long
Last updated:
22 November 2018 - 10:45pm
Document Type:
Presentation Slides
Document Year:
2018
Event:
Presenters Name:
WENXUAN LONG
Paper Code:
1114

Abstract 

Abstract: 

Without relative motion or beam scanning, orbitalangular-momentum (OAM)-based radar is shown to be able to estimate azimuth of targets, which opens a new perspective for traditional radar techniques. However, the existing application of two-dimensional (2-D) fast Fourier transform (FFT) and multiple signal classification (MUSIC) algorithms in OAM-based radar targets detection doesn’t realize 2-D super-resolution and robust estimation. Therefore, in this paper we propose a 2-D OAM radar targets detection method based on estimating signal parameter via rotational invariance (ESPRIT) algorithm. Our analysis and simulation results validate that OAM-based radar could achieve robust 2-D super-resolution imaging.

up
0 users have voted:

Dataset Files

ORBITAL ANGULAR MOMENTUM-BASED TWO-DIMENSIONAL.pdf

(233)