Date of Award
Master of Science in Electrical Engineering
Department of Electrical and Computer Engineering
Peter J. Collins, PhD
This research studies the AFIT noise network (NoNET) radar node design and the feasibility in processing the bistatic channel information of a cluster of widely distributed noise radar nodes. A system characterization is used to predict theoretical localization performance metrics. Design and integration of a distributed and central signal and data processing architecture enables the Matlab®-driven signal data acquisition, digital processing and multi-sensor image fusion. Experimental evaluation of the monostatic localization performance reveals its range measurement error standard deviation is 4.8 cm with a range resolution of 87.2(+/-5.9) cm. The 16-channel multistatic solution results in a 2-dimensional localization error of 7.7(+/-3.1) cm and a comparative analysis is performed against the netted monostatic solution. Results show that active sensing with a low probability of intercept (LPI) multistatic radar, like the NoNET, is capable of producing sub-meter accuracy and near meter-resolution imagery.
DTIC Accession Number
Nelms, Matthew E., "Development and Evaluation of a Multistatic Ultrawideband Random Noise Radar" (2010). Theses and Dissertations. 2018.