Multi-sensor Data Fusion between Radio Tomographic Imaging and Noise Radar

Authors

Christopher Vergara
Richard K. Martin, Air Force Institute of TechnologyFollow
Peter J. Collins, Air Force Institute of TechnologyFollow
James R. Lievsay

Document Type

Article

Publication Date

2-2020

Abstract

Radio tomographic imaging and noise radar are two proven surveillance technologies. The novelty of fusing data from radio tomographic imaging and noise radar is achieved with the derivation of a fusion technique utilising Tikhonov regularisation. Analysing the results of the Tikhonov influenced techniques reveals an average 43–47% error decrease in target centroid location, a 13–19% size decreases in target pixel dispersion and a 6–41% improvement in an ideal solution comparison. Results provide the radio tomographic imaging and noise radar communities a proof of concept for the fusion of data from two disparate sensor technologies.

Comments

© 2020 The Institution of Engineering and Technology.

DOI

https://doi.org/10.1049/iet-rsn.2019.0092

Source Publication

IET Radar, Sonar & Navigation

Recommended Citation

Vergara, C., Martin, R.K., Collins, P.J. and Lievsay, J.R. (2020), Multi-sensor data fusion between radio tomographic imaging and noise radar. IET Radar Sonar Navig., 14: 187-193. https://doi.org/10.1049/iet-rsn.2019.0092