Investigations on Target Tracking and Classification Using Multiple Sensor Data Fusion, Task II:
Investigations on Target Tracking and Classification Using Multiple Sensor Data Fusion, Task II:

Author:

Publisher:

Published: 1992

Total Pages: 231

ISBN-13:

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The goal of this report is to conduct an exhaustive formal literature survey on multisensor data fusion and use the results to conduct performance analyses of the following sensor data fusion subjects: sensor data association & fusion architectures; data association; data fusion; data alignment or registration; target attribute estimation & fusion; application of artificial intelligence techniques; target state estimation analysis; and target model (type of maneuver) identification analysis. The different analysis approaches published in the surveyed literature are identified for each of the above subjects, and relative merits and trade-offs between these approaches are evaluated. The analyses focus on those approaches which could be pertinent to a naval platform employing dissimilar and non-imaging sensors. Includes glossary.

Investigations on Target Tracking and Classification Using Multiple Sensor Data Fusion, Task IV:
Investigations on Target Tracking and Classification Using Multiple Sensor Data Fusion, Task IV:

Author:

Publisher:

Published: 1992

Total Pages: 91

ISBN-13:

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The analyses in the first part of this report are aimed at developing an understanding of hardware & software implementation issues for a high performance fusion function within the Anti Air Warfare (AAW) frigate. The AN/UYK-507 CB computer is selected for the study of the general purpose processor implementations. An extended parallel processing architecture, capable of executing about 100 million operations per second, is proposed within the militarized version of this computer for the study of the parallel processing implementations. A central level fusion function using the multi-hypothesis tracking method is selected for the study of benchmark algorithm implementations and an appendix shows how to estimate the number of mathematical operations required to perform some tasks of the multisensor data fusion functions. The analyses in the second part focusses mainly on the man-machine interface & human factors issues of an AAW frigate employing the central-level fusion function using the method discussed in the first part.

Multisensor Data Fusion
Multisensor Data Fusion

Author: David Hall

Publisher: CRC Press

Published: 2001-06-20

Total Pages: 564

ISBN-13: 1420038540

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The emerging technology of multisensor data fusion has a wide range of applications, both in Department of Defense (DoD) areas and in the civilian arena. The techniques of multisensor data fusion draw from an equally broad range of disciplines, including artificial intelligence, pattern recognition, and statistical estimation. With the rapid evolut

Cognitive Fusion for Target Tracking
Cognitive Fusion for Target Tracking

Author: Ioannis Kyriakides

Publisher: Springer

Published: 2019-09-12

Total Pages: 0

ISBN-13: 9783031004001

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The adaptive configuration of nodes in a sensor network has the potential to improve sequential estimation performance by intelligently allocating limited sensor network resources. In addition, the use of heterogeneous sensing nodes provides a diversity of information that also enhances estimation performance. This work reviews cognitive systems and presents a cognitive fusion framework for sequential state estimation using adaptive configuration of heterogeneous sensing nodes and heterogeneous data fusion. This work also provides an application of cognitive fusion to the sequential estimation problem of target tracking using foveal and radar sensors.

Group-target Tracking
Group-target Tracking

Author: Wen-dong Geng

Publisher: Springer

Published: 2016-10-01

Total Pages: 175

ISBN-13: 981101888X

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This book describes grouping detection and initiation; group initiation algorithm based on geometry center; data association and track continuity; as well as separate-detection and situation cognition for group-target. It specifies the tracking of the target in different quantities and densities. At the same time, it integrates cognition into the application. Group-target Tracking is designed as a book for advanced-level students and researchers in the area of radar systems, information fusion of multi-sensors and electronic countermeasures. It is also a valuable reference resource for professionals working in this field.