A Practical Bias Estimation Algorithm for Multisensor-Multitarget Tracking

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Authors
  1. Taghavi, E.
  2. Tharmarasa, R.
  3. Kirubarajan, T.
  4. Bar-Shalom, Y.
  5. McDonald, Mike
Corporate Authors
Defence Research and Development Canada, Ottawa Research Centre, Ottawa ON (CAN)
Abstract
Bias estimation or sensor registration is an essential step in ensuring the accuracy of global tracks in multisensor-multitarget tracking. Most previously proposed algorithms for bias estimation rely on local measurements in centralized systems or tracks in distributed systems along with additional information such as covariances, filter gains, or targets of opportunity. In addition, it is generally assumed that such data are made available to the fusion center at every sampling time. In practical distributed multisensor-tracking systems, where each platform sends local tracks to the fusion center, only state estimates and, perhaps, their covariances are sent to the fusion center at nonconsecutive sampling instants or scans.
Keywords
tracking;bias estimation
Report Number
DRDC-RDDC-2016-P055 — External Literature
Date of publication
25 Jun 2015
Number of Pages
18
DSTKIM No
CA042811
CANDIS No
803984
Format(s):
Electronic Document(PDF)

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