Target preference in multitarget sensor management: a unified approach

Ronald P. S. Mahler

doi:10.1117/12.544019

9 August 2004 Target preference in multitarget sensor management: a unified approach

Ronald P. S. Mahler

Proceedings Volume 5429, Signal Processing, Sensor Fusion, and Target Recognition XIII; (2004) https://doi.org/10.1117/12.544019
Event: Defense and Security, 2004, Orlando, Florida, United States

Abstract

Sensor management algorithms must be capable of directing sensing resources preferentially to know or potential Targets of Interest (ToIs) having high tactical importance. In principle one could simply wait until accumulated information strongly suggests that particular targets are probable ToIs and then bias the allocation of sensor resources to those targets. However, such ad hoc techniques have inherent limitations. To avoid these limitations target preference must be incorporated into the fundamental statistical description of multisensor-multitarget problems. In this paper we show that finite-set statistics (FISST) has built-in mathematical tools for doing this, thereby allowing target preference to be incorporated into sensor management objective functions.

Citation Download Citation

Ronald P. S. Mahler "Target preference in multitarget sensor management: a unified approach", Proc. SPIE 5429, Signal Processing, Sensor Fusion, and Target Recognition XIII, (9 August 2004); https://doi.org/10.1117/12.544019

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