Decentralized Estimation Using Information Consensus Filters with a Multi-static UAV Radar Tracking System
This dissertation lays out a multi-static radar system with mobile receivers. The transmitter is at a known location emitting a radar signal that bounces off a target. The echo is received by a team of UAVs that are capable of estimating both time-delay and Doppler from the received signal. Several...
Main Author: | Casbeer, David W. |
---|---|
Format: | Others |
Published: |
BYU ScholarsArchive
2009
|
Subjects: | |
Online Access: | https://scholarsarchive.byu.edu/etd/1674 https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=2673&context=etd |
Similar Items
-
An Improved Extended Kalman Filter for Radar Tracking of Satellite Trajectories
by: Milca de Freitas Coelho, et al.
Published: (2021-08-01) -
Kalman filtering : With a radar tracking implementation
by: Svanström, Fredrik
Published: (2013) -
Target Tracking in 3-D Using Estimation Based Nonlinear Control Laws for UAVs
by: Mousumi Ahmed, et al.
Published: (2016-02-01) -
Object Tracking Over Distributed WSNs With Consensus on Estimates and Missing Data
by: Miguel Vazquez-Olguin, et al.
Published: (2019-01-01) -
An Optimal Kalman-Consensus Filter for Distributed Implementation Over a Dynamic Communication Network
by: Matthew D. Howard, et al.
Published: (2021-01-01)