Cognitive Radar
Abstract
Several advances were made toward a foundation for cognitive radar. Several extensions to optimum or matched waveform theory were completed, including formalization of a random-target variance function used in the design methods, extensions to MIMO radar for target identification, information-based waveforms in the presence of ground clutter, incorporation of constant-modulus design techniques, and an adaptive PRK selection technique. These techniques were also applied to spatial waveform design (i.e. beamshaping) in order to develop the fundamentals for a cooperative multiplatform air-to-ground surveillance capability. Two techniques based on the covariance of target track states were developed for integrating detection and tracking into the same Bayesian framework, as well as probability updating techniques in target parameter space for multi-platform detection and tracking. This allowed for beamsteering toward areas in a scene where target presence and/or parameters were most uncertain.
Document Details
- Document Type
- Technical Report
- Publication Date
- Feb 28, 2010
- Accession Number
- ADA518604
Entities
People
- Nathan A. Goodman
Organizations
- University of Arizona