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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Stubberud, S.C. Kramer, K.A. |
| Copyright Year | 2010 |
| Description | Author affiliation: Advanced Programs, Oakridge Technology, Del Mar, USA (Stubberud, S.C.; Kramer, K.A.) |
| Abstract | A phase-only filter for image correlation that is derived from the mathematical representation of an optical correlator has been shown to be applicable to the data association problem. A new approach for this type of correlation that can also incorporate measurement and track uncertainties is developed. Data association is a key component of the data fusion process; Level 1 data fusion in target tracking consists of kinematics (position and velocity) and classification. The phase-only filter correlation approach can be used in both the kinematics and the classification track-elements, but its the kinematic elements of the target track that are considered in this work. Inspired by the unscented Kalman filter, a sample-point distribution technique is developed that incorporates the uncertainty into the POF association technique. |
| Starting Page | 18 |
| Ending Page | 23 |
| File Size | 1102235 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424428328 |
| ISSN | 10915281 |
| DOI | 10.1109/IMTC.2010.5488113 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-05-03 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Measurement uncertainty Target tracking Kinematics Optical filters Optical fibers Optical sensors Tiles Correlators Lenses Fourier transforms Optical Correlation Measurement Uncertainty Data Association Image Correlation Sensor Fusion |
| Content Type | Text |
| Resource Type | Article |
| Subject | Instrumentation Electrical and Electronic Engineering |
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