DocumentCode :
819444
Title :
Suboptimal filter design with pseudomeasurements for target tracking
Author :
Song, Taek L. ; Ahn, Jo Young ; Park, Chanbin
Author_Institution :
Agency for Defense Dev., Daejeon, South Korea
Volume :
24
Issue :
1
fYear :
1988
fDate :
1/1/1988 12:00:00 AM
Firstpage :
28
Lastpage :
39
Abstract :
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
Keywords :
Kalman filters; Monte Carlo methods; digital simulation; filtering and prediction theory; linear network synthesis; optimal systems; telecommunications computing; tracking systems; Berg model; Monte Carlo computer simulation; coordinated turn maneuver; linear target dynamics; maneuvering target; nonlinear measurements; pseudomeasurements; suboptimal Kalman filter design; suboptimal filter; target acceleration model; target tracking; Acceleration; Aerodynamics; Control systems; Coordinate measuring machines; Design methodology; Fires; Kalman filters; Radar measurements; Radar tracking; Target tracking;
fLanguage :
English
Journal_Title :
Aerospace and Electronic Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9251
Type :
jour
DOI :
10.1109/7.1033
Filename :
1033
Link To Document :
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