Information filter for decentralized data fusion and sensor management

Phil Greenway; Rob H. Deaves

doi:10.1117/12.177768

10 June 1994 Information filter for decentralized data fusion and sensor management

Phil Greenway, Rob H. Deaves

Proceedings Volume 2232, Signal Processing, Sensor Fusion, and Target Recognition III; (1994) https://doi.org/10.1117/12.177768
Event: SPIE's International Symposium on Optical Engineering and Photonics in Aerospace Sensing, 1994, Orlando, FL, United States

Abstract

Previous work in data fusion has seen the development of a range of architectures for multisensor data fusion systems, from fully centralized through distributed to fully decentralized. This paper presents some results obtained from an implementation of a multitarget tracking system built around a fully decentralized Kalman filter (DKF). Explicit use is made of the information available locally to a sensor to control its pointing and target detection. The tracking system integrates an essentially range- only sensor with a bearing-only sensor, and the performance of the system is described in terms of both its ability to produce good tracks and its requirement for communications bandwidth. The sensors run asynchronously from each other, and also exhibit asynchronous first detection. Of particular importance in the way the individual sensors can use the information in the global picture to make decisions about which targets to observe. In the demonstration system, simple sensor management is achieved by fixating on the nearest (interesting) target. First we give some background and describe the decentralized data fusion test bed. Then we consider the realization of the decentralized information filter in terms of the ultrasonic and IR sensors used in our demonstration system. Finally, we draw some conclusions about system performance, and indicate some possible future work.

Citation Download Citation

Phil Greenway and Rob H. Deaves "Information filter for decentralized data fusion and sensor management", Proc. SPIE 2232, Signal Processing, Sensor Fusion, and Target Recognition III, (10 June 1994); https://doi.org/10.1117/12.177768

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available