Accession Number:

AD1076589

Title:

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

Descriptive Note:

Technical Report,01 Sep 2017,21 Mar 2019

Corporate Author:

AIR FORCE INSTITUTE OF TECHNOLOGY WRIGHT-PATTERSON AFB OH WRIGHT-PATTERSON AFB United States

Personal Author(s):

• Vergara,Christopher

Report Date:

2019-03-21

Pagination or Media Count:

130.0

Abstract:

Radio Tomographic Imaging RTI and noise radar are two proven surveillance technologies. The novelty of fusing data from RTI and noise radar is achieved with the derivation of a fusion technique utilizing Tikhonov regularization. Analyzing the results of the Tikhonov influenced techniques reveals up to a 100 error decrease in target pixel location, a 75 error decrease in target centroid location, a 28 size decrease in target pixel dispersion and a 72 improvement in an ideal solution comparison. Results provide the RTI and noise radar communities a proof of concept for the fusion of data from two disparate sensor technologies.

Descriptors:

• data fusion
• NOISE RADAR
• pattern recognition
• wireless sensor networks
• kalman filters
• graphical user interface
• MULTISENSORS

Subject Categories:

• Active and Passive Radar Detection and Equipment

Distribution Statement:

APPROVED FOR PUBLIC RELEASE