Radar Based Navigation in Unknown Terrain
Abstract
There is a great need to develop non-GPS based methods for positioning and navigation in situations where GPS is not available. This research focuses on the development of an Ultra-Wideband Orthogonal Frequency Division Multiplexed (UWB-DFDM) Radar as a navigation sensor in GPS-denied environments. A side-looking vehicle-fixed UWB-OFDM radar is mounted to a ground or aerial vehicle continuously collecting data. A set of signal processing algorithms and methods are developed which use the raw radar data to aid in calculating the vehicle position and velocity via a simultaneous localization and mapping (SLAM) approach. The radar processing algorithms detect strong, persistent, and stationary reflectors imbedded into he environment and extract range/Doppler measurements to them. If the radar is the only sensor available, the measurements are used to directly compute the vehicle position. If an existing navigation platform is available, the measurements are combined with the other sensors in an EKF. The developed algorithms are tested via both a series of airborne simulation and ground based experiments. The computed navigation solution performance is analyzed with the following sensor availability: radar-only, INS-only and combined radar/INS (Internal Navigational System). In both simulation and experimental scenarios, the integrated INS/UWB-OFDM system shows significant improvements over an INS-only navigation solution.
Document Details
- Document Type
- Technical Report
- Publication Date
- Dec 31, 2012
- Accession Number
- AD1082315
Entities
People
- Kyle J. Kaufmann
Organizations
- Air Force Institute of Technology