Multirate filtering with out-of-sequence data

Lang Hong; Shan Cong; Devert W. Wicker

doi:10.1117/12.477606

31 July 2002 Multirate filtering with out-of-sequence data

Lang Hong, Shan Cong, Devert W. Wicker

Proceedings Volume 4729, Signal Processing, Sensor Fusion, and Target Recognition XI; (2002) https://doi.org/10.1117/12.477606
Event: AeroSense 2002, 2002, Orlando, FL, United States

Abstract

The paper develops a multirate filtering/smoothing approach for out-of-sequence (OOS) measurements. There are two major steps in OOS filtering/smoothing: retrospection from current time to OOS time (smoothing) and updating the current estimate with the OOS measurement (filtering), which imposes a high computation and memory burden on implementing OOS filtering. The multirate approach provides an excellent framework for efficient information retrospection and forward update. A multirate interacting multiple model (MRIMM) filter is developed to track a target with or without maneuvering behavior in an environment of our-of- sequence measurement reporting.

Citation Download Citation

Lang Hong, Shan Cong, and Devert W. Wicker "Multirate filtering with out-of-sequence data", Proc. SPIE 4729, Signal Processing, Sensor Fusion, and Target Recognition XI, (31 July 2002); https://doi.org/10.1117/12.477606

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