SME filter approach to multiple target tracking in cluttered environments

Edward W. Kamen; Y Lee

doi:10.1117/12.139380

25 August 1992 SME filter approach to multiple target tracking in cluttered environments

Edward W. Kamen, Y Lee

Proceedings Volume 1698, Signal and Data Processing of Small Targets 1992; (1992) https://doi.org/10.1117/12.139380
Event: Aerospace Sensing, 1992, Orlando, FL, United States

Abstract

The symmetric measurement equation (SME) filter approach to track maintenance in multiple target tracking (MTT) is extended to the case when there are false and/or missing detections. In the SME filter approach to MTT there is no need to consider target/measurement association or to identify which data points in the measurement set are missing or are due to false detections. As a result, there is a substantial reduction in the computational complexity of the tracking filter, and in fact the computational requirements for implementing the filter are comparable to that of a standard Kalman filter of dimension 6N where N is the number of targets. In this paper the SME tracking filter is formulated for the case of N targets moving with constant velocities and with position measurements given in Cartesian coordinates. It is assumed that the measurement noises are zero mean, white, and independent (of each other), so that target motion can be decoupled into x, y, z components. A computer simulation is given in the case of three targets with false and missing measurements.

Citation Download Citation

Edward W. Kamen and Y Lee "SME filter approach to multiple target tracking in cluttered environments", Proc. SPIE 1698, Signal and Data Processing of Small Targets 1992, (25 August 1992); https://doi.org/10.1117/12.139380

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