Efficient multisensor fusion using multidimensional assignment for multitarget tracking

Thiagalingam Kirubarajan; Hao Wang; Yaakov Bar-Shalom; Krishna R. Pattipati

doi:10.1117/12.327101

17 July 1998 Efficient multisensor fusion using multidimensional assignment for multitarget tracking

Thiagalingam Kirubarajan, Hao Wang, Yaakov Bar-Shalom, Krishna R. Pattipati

Proceedings Volume 3374, Signal Processing, Sensor Fusion, and Target Recognition VII; (1998) https://doi.org/10.1117/12.327101
Event: Aerospace/Defense Sensing and Controls, 1998, Orlando, FL, United States

Abstract

In this paper we present the development of a multisensor fusion algorithm using multidimensional data association for multitarget tracking. The work is motivated by a large scale ground target surveillance problem, where observations from multiple asynchronous sensors with time-varying sampling intervals (e.g., electronically scanned array radars) are used for centralized fusion. The combination of multisensor fusion with multidimensional assignment is done such as to maximize the 'time-depth,' in addition to 'sensor-width' for the number S of lists handled by the assignment algorithm. The time-depth results from the simultaneous use of multiple frames of measurements obtained at different time instants. The sensor- width comes from the geographically distributed nature of the sensors. A procedure, which guarantees maximum effectiveness for an S-dimensional data association (S greater than or equal to 3), i.e., maximum time-depth (S-1) for each sensor without sacrificing the fusion across sensors, is presented. Using a sliding-window technique (of length S), the estimates are updated after each frame of measurements. The algorithm provides a systematic approach to automatic track formation, maintenance and termination for multitarget tracking using multisensor fusion with multidimensional assignment for data association. Estimation results are presented for simulated data.

Citation Download Citation

Thiagalingam Kirubarajan, Hao Wang, Yaakov Bar-Shalom, and Krishna R. Pattipati "Efficient multisensor fusion using multidimensional assignment for multitarget tracking", Proc. SPIE 3374, Signal Processing, Sensor Fusion, and Target Recognition VII, (17 July 1998); https://doi.org/10.1117/12.327101

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