Suboptimal filter design with pseudomeasurements for target tracking

A suboptimal Kalman filter design method is presented for the problem of tracking a maneuvering target. The design method is essentially based on linear target dynamics and linear-like structured measurements called pseudomeasurements. The pseudomeasurements are obtained by manipulating the original...

Full description

Saved in:
Bibliographic Details
Published in:IEEE transactions on aerospace and electronic systems 1988-01, Vol.24 (1), p.28-39
Main Authors: Song, T.L., Ahn, J.Y., Park, C.
Format: Article
Language:English
Subjects:
Acceleration
Aerodynamics
Applied sciences
Control systems
Coordinate measuring machines
Design methodology
Electric, optical and optoelectronic circuits
Electronics
Exact sciences and technology
Fires
Kalman filters
Radar measurements
Radar tracking
Target tracking
Theoretical study. Circuits analysis and design
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:A suboptimal Kalman filter design method is presented for the problem of tracking a maneuvering target. The design method is essentially based on linear target dynamics and linear-like structured measurements called pseudomeasurements. The pseudomeasurements are obtained by manipulating the original nonlinear measurements algebraically. The resulting filter has computational advantages over other filters with similar performance. Also, a variant of the Berg model is proposed as a target acceleration model under the assumption of a coordinated turn maneuver. The proposed model is consistent with the underlying assumption. Monte Carlo computer simulation results are included to demonstrate the effectiveness of the proposed suboptimal filter associated with the target acceleration model.< >
ISSN:0018-9251
1557-9603
DOI:10.1109/7.1033