Evolving to 4D Signal Strength Normalization
Brad Snelling, Greg Cox, Todd Bigham, Federal Aviation Administration; Jim West, Oklahoma State University; Yan (Rockee) Zhang, University of Oklahoma
Location: Regency Ballroom
Date/Time: Friday, Apr. 20, 11:15 a.m.
The FAA Flight Inspection Team has been preparing to significantly reduce signal strength measurement uncertainty for several years. The largest uncertainty is limited normalization data and its software implementation. Upon reaching the limits of what can be done with a 2 dimensional (2D) normalization and gain adjustment scheme, the Flight Inspection Airborne Processor Application (FIAPA) now provides added programming flexibility to begin correcting in all three dimensions and for frequency dependence. The combination of 3D and frequency dependence is referred to as 4D in this paper. The FAA has partnerships with Oklahoma University (OU) and Oklahoma State University (OSU) to assist with electromagnetic modeling and calibration using Unmanned Aircraft Systems (UAS). The purpose of this paper is to describe ongoing efforts to reduce signal strength uncertainty via implementation of a 4D correction scheme.