Document Type
Article
Publication Date
11-2-2018
Publication Title
Journal of Applied Remote Sensing
Volume
12
Issue
4
First page number:
1
Last page number:
18
Abstract
A channel-estimation (CE) scheme is proposed to estimate the complex amplitude, Doppler shift, angle-of-departure, and angle-of-arrival of the channel taps for sparse and doubly selective channels for hyperspectral image transmission from unmanned aircraft vehicles (UAVs) to ground stations. The proposed method is dubbed as compressed-sensing joint parameter estimation (CS-JPE) and finds the channel parameters matrix by employing a compressed-sensing (CS)-based method. Afterward, a modified version of the joint parameter estimation (JPE) is proposed as CS-JPE and is dubbed as M-CS-JPE, which employs the elevation-azimuth angles of the line-of-sight channel tap to estimate the channel parameters with higher accuracy and lower computational complexity compared to the CS-JPE scheme. For higher accuracy of the M-CS-JPE, an elevation-azimuth angle estimation is proposed and is dubbed as fractal-structure-array since it uses a fractal structure for the placement of the UAV antennas. The performance of the CE methods is appraised by simulating transmission of AVIRIS hyperspectral data via the communication channel and evaluating their accuracy for the classification after demodulation. Compared to the least-square method, the simulation results indicate up to 30-dB figure of merit in the bit-error-rate and 10 times improvement in the hyperspectral image classification fidelity.
Keywords
Unmanned aircraft vehicle; Elevation and azimuth angles; Channel estimation; Doppler shift; Compressed sensing; Orthogonal frequency division multiplexing
Disciplines
Environmental Sciences | Remote Sensing
File Format
File Size
1.928 Kb
Language
English
Permissions
© 2018 Society of Photo Optical Instrumentation Engineers (SPIE). One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this publication for a fee or for commercial purposes, or modification of the contents of the publication are prohibited.
Repository Citation
Vahidi, V.,
Saberinia, E.
(2018).
Elevation and Azimuth-aided Channel Estimation Scheme for Airborne Hyperspectral Data Transmission.
Journal of Applied Remote Sensing, 12(4),
1-18.
http://dx.doi.org/10.1117/1.JRS.12.046014