Title :
Biased Estimation Properties of the Pseudolinear Tracking Filter
Author :
Aidala, Vincent J. ; Nardone, Steven C.
Author_Institution :
Naval Underwater Systems Center
fDate :
7/1/1982 12:00:00 AM
Abstract :
Estimation bias in the pseudolinear filter applied to bearings-only target tracking is discussed. Approximate expressions for the pertinent error terms are developed and subsequently used to predict tracking performance under realistic operating conditions. It is shown that once own-ship executes a maneuver, only the estimated range vector remains biased; the corresponding velocity vector becomes asymptotically unbiased. Further investigation reveals that this range bias is highly dependent upon geometry and can be altered by additional own-ship maneuvers. Experimental data are presented to support these findings.
Keywords :
Covariance matrix; Filtering algorithms; Geometry; Motion analysis; Noise measurement; Nonlinear equations; Nonlinear filters; Sea measurements; Target tracking; Underwater tracking;
Journal_Title :
Aerospace and Electronic Systems, IEEE Transactions on
DOI :
10.1109/TAES.1982.309250