Bernoulli Forward-Backward Smoothing for Joint Target Detection and Tracking
In this correspondence, we derive a forward-backward smoother for joint target detection and estimation and propose a sequential Monte Carlo implementation. We model the target by a Bernoulli random finite set since the target can be in one of two “present” or “absent” modes. Finite set statistics i...
| Main Authors: | , , , |
|---|---|
| Format: | Journal Article |
| Published: |
Institute of Electrical and Electronics Engineers
2011
|
| Subjects: | |
| Online Access: | http://hdl.handle.net/20.500.11937/33662 |