Out-of-Sequence Measurements Filtering Using Forward Prediction

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Authors
  1. Rheaume, F.
  2. Benaskeur, A.
Corporate Authors
Defence R&D Canada - Valcartier, Valcartier QUE (CAN)
Abstract
In target tracking applications, there may be situations where measurements from a given target arrive out of sequence at the processing center. This problem is commonly referred to as Out-of-Sequence Measurements (OOSMs). So far, most of the existing solutions to this problem are based on retrodiction, where backward prediction of the current estimated state is used to incorporate the OOSMs at appropriate time instants. This document suggests a new method for tackling the OOSMs problem without backward prediction. Based on a forward prediction and decorrelation approach, the method has proved to compare favorably to the best retrodiction-based methods, while requiring less data storage in most cases.

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Report Number
DRDC-VALCARTIER-TR-2005-485 — Technical Report
Date of publication
01 Aug 2007
Number of Pages
38
DSTKIM No
CA029644
CANDIS No
528019
Format(s):
CD ROM

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