Abstract
In a multisensor target tracking application running on a shared network, at what bit rates should the sensors send their measurements to the tracking fusion center? Clearly, the sensors cannot use arbitrary rates in a shared network, and a standard network rate control algorithm may not provide rates amenable to effective target tracking. For Kalman filter-based multisensor target tracking, we derive a utility function that captures the tracking quality of service as a function of the sensor bit rates. We incorporate this utility function into a network rate resource allocation framework, deriving a distributed rate control algorithm for a shared network that is suitable for current best effort packet networks, such as the Internet. In simulation studies, the new rate control algorithm engenders significantly better tracking performance than a standard rate control method, while the ordinary data transfer flows continue to effectively operate while using their standard rate control methods.
Original language | English (US) |
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Pages (from-to) | 348-362 |
Number of pages | 15 |
Journal | IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics |
Volume | 39 |
Issue number | 2 |
DOIs | |
State | Published - Jan 1 2009 |
Keywords
- Convex optimization
- Data fusion
- Kalman filtering (KF)
- Network utility maximization (NUM)
- Networked signal processing
- Target tracking
ASJC Scopus subject areas
- Control and Systems Engineering
- Electrical and Electronic Engineering
- Computer Science Applications
- Human-Computer Interaction
- Information Systems
- Software