Improved target detection and tracking in littoral environments using a self-organising spatio-temporal CFAR
| dc.contributor.author | Hughes, Evan J. | |
| dc.contributor.author | Lewis, M. | |
| dc.date.accessioned | 2009-07-14T14:58:07Z | |
| dc.date.available | 2009-07-14T14:58:07Z | |
| dc.date.issued | 2009-07-14T14:58:07Z | |
| dc.description.abstract | This paper describes a self organising spatio-temporal radar CFAR system that uses multiple intelligent software agents to detect and adapt the processing to features in the environment. By combining both temporal and spatial data gathering sufficient samples can be collected to allow both the first and second order moments of the clutter distribution to be approximated for each cell. By gathering higher order statistics to a useful accuracy, more stable thresholds may be produced | en_UK |
| dc.identifier.uri | http://hdl.handle.net/1826/3467 | |
| dc.language.iso | en | en_UK |
| dc.title | Improved target detection and tracking in littoral environments using a self-organising spatio-temporal CFAR | en_UK |
| dc.type | Conference paper | en_UK |
Files
Original bundle
1 - 1 of 1
Loading...
- Name:
- 2. Improved Target Detection and Tracking in Littoral Environments Using a Self-organising Spatio-temporal CFAR.pdf
- Size:
- 660.51 KB
- Format:
- Adobe Portable Document Format
License bundle
1 - 1 of 1
No Thumbnail Available
- Name:
- license.txt
- Size:
- 1.88 KB
- Format:
- Item-specific license agreed upon to submission
- Description: