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Proceedings Paper

Multirate filtering with out-of-sequence data
Author(s): Lang Hong; Shan Cong; Devert W. Wicker
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Paper 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.

Paper Details

Date Published: 31 July 2002
PDF: 12 pages
Proc. SPIE 4729, Signal Processing, Sensor Fusion, and Target Recognition XI, (31 July 2002); doi: 10.1117/12.477606
Show Author Affiliations
Lang Hong, Wright State Univ. (United States)
Shan Cong, Wright State Univ. (United States)
Devert W. Wicker, Air Force Research Lab. (United States)

Published in SPIE Proceedings Vol. 4729:
Signal Processing, Sensor Fusion, and Target Recognition XI
Ivan Kadar, Editor(s)

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