Full metadata
Title
Target tracking in environments of rapidly changing clutter
Description
Tracking targets in the presence of clutter is inevitable, and presents many challenges. Additionally, rapid, drastic changes in clutter density between different environments or scenarios can make it even more difficult for tracking algorithms to adapt. A novel approach to target tracking in such dynamic clutter environments is proposed using a particle filter (PF) integrated with Interacting Multiple Models (IMMs) to compensate and adapt to the transition between different clutter densities. This model was implemented for the case of a monostatic sensor tracking a single target moving with constant velocity along a two-dimensional trajectory, which crossed between regions of drastically different clutter densities. Multiple combinations of clutter density transitions were considered, using up to three different clutter densities. It was shown that the integrated IMM PF algorithm outperforms traditional approaches such as the PF in terms of tracking results and performance. The minimal additional computational expense of including the IMM more than warrants the benefits of having it supplement and amplify the advantages of the PF.
Date Created
2015
Contributors
- Dutson, Karl (Author)
- Papandreou-Suppappola, Antonia (Thesis advisor)
- Kovvali, Narayan (Committee member)
- Bliss, Daniel W (Committee member)
- Arizona State University (Publisher)
Topical Subject
Resource Type
Extent
vi, 59 pages : color illustrations
Language
Copyright Statement
In Copyright
Primary Member of
Peer-reviewed
No
Open Access
No
Handle
https://hdl.handle.net/2286/R.I.29894
Statement of Responsibility
by Karl Dutson
Description Source
Viewed on July 20, 2015
Level of coding
full
Note
Partial requirement for: M.S., Arizona State University, 2015
Note type
thesis
Includes bibliographical references (pages 56-59)
Note type
bibliography
Field of study: Electrical engineering
System Created
- 2015-06-01 08:12:18
System Modified
- 2021-08-30 01:29:00
- 2 years 7 months ago
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