Paper
3 September 1993 Information-based sensor management
Wayne W. Schmaedeke
Author Affiliations +
Abstract
The problem of intelligent use of sensors in a multi-sensor, multi-target surveillance system is discussed. The problem is to make the optimal assignment of targets to sensors subject to given constraints on sensor capacity and for a given definition of optimal. We have found previous work on the sensor management problem to have deficiencies due to the way information is used to optimize the assignment. There are numerous formulations of such `information' based approaches in the literature. This paper attempts to put the problem on a first principles basis. The approach taken here it to determine the predicted gain in information content of a track j after it is updated with data from sensor i for all pairs i,j. This information content can be predicted without making the actual observation by using the properties of the Kalman covariance matrix. The particular assignment of tracks to sensors that maximizes the total information gain subject to the constraints on the sensors is then generated using linear programming methods.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Wayne W. Schmaedeke "Information-based sensor management", Proc. SPIE 1955, Signal Processing, Sensor Fusion, and Target Recognition II, (3 September 1993); https://doi.org/10.1117/12.154970
Lens.org Logo
CITATIONS
Cited by 71 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Sensors

Computer programming

Matrices

Silicon

Surveillance

Filtering (signal processing)

Intelligent sensors

RELATED CONTENT


Back to Top