Geometric Invariants for Radar Motion Estimation
Abstract
We describe an algorithm for reconstructing the motion of a radar platform relative to a scene, given video phase history and an estimate of the sensor's average speed and altitude. This algorithm is a more robust alternative to previous geometric-invariant-based approaches, capable of producing motion estimates accurate enough for the formation of back projection imagery. The algorithm is modular; in the first phase, the algorithm estimates the range to fixed locations in the scene as a function of time. In the second phase, these range tracks are used by a specialized solver to recover the relative positions of the tracked locations in the scene, along with the relative position of the sensor platform as a function of time. We demonstrate the effectiveness of the algorithm by forming an image from the large-scene Gotcha dataset, without the use of GPS or inertial measurement unit data. The results are compared to those from another invariant-based algorithm.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jan 04, 2021
- Accession Number
- AD1120548
Entities
People
- Matthew Ferrara
Organizations
- Matrix Research (United States)