Title :
A nearly unbiased inherently stable bearings-only tracker
Author :
Holtsberg, Anders ; Holst, Jan H.
Author_Institution :
Dept. of Math. Stat., Lund Inst. of Technol., Sweden
fDate :
4/1/1993 12:00:00 AM
Abstract :
A pseudolinear estimator for bearings only tracking is presented. It is demonstrated through calculations and simulations that it has a performance close to the computationally far more complex maximum-likelihood estimator, in contrast to the earlier well-known pseudolinear estimator in Cartesian coordinates. Using the mean time point as the time reference of this estimator is necessary in order to avoid bias
Keywords :
estimation theory; signal detection; tracking systems; mean time point; pseudolinear estimator; signal detection; simulations; time reference; unbiased inherently stable bearings-only tracker; Computational modeling; Gaussian noise; Kalman filters; Maximum likelihood estimation; Measurement errors; Noise measurement; Recursive estimation; Search methods; Target tracking; Time measurement;
Journal_Title :
Oceanic Engineering, IEEE Journal of
