A method for bearings-only velocity and position estimation

1 April 1981

journal article
Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Automatic Control

Vol. 26 (2) , 488-493
https://doi.org/10.1109/tac.1981.1102649

Abstract

A method for the estimation of the position and velocity of a target traveling on a straight line course at constant speed from a series of passive measurements is presented. This method is based on the Lainiotis algorithm [9]. Extensive simulation has shown that the method performs very well even under adverse circumstances of very noisy environment, large range, and small target velocity. Examples are given.

Keywords

This publication has 8 references indexed in Scilit:

Asymptotic behavior of the extended Kalman filter as a parameter estimator for linear systems
IEEE Transactions on Automatic Control, 1979
Kalman Filter Behavior in Bearings-Only Tracking Applications
IEEE Transactions on Aerospace and Electronic Systems, 1979
Position and Velocity Estimation Via Bearing Observations
IEEE Transactions on Aerospace and Electronic Systems, 1978
Partitioning: A unifying framework for adaptive systems, I: Estimation
Proceedings of the IEEE, 1976
Digital synthesis of non-linear filters
Automatica, 1971
Optimal adaptive estimation: Structure and parameter adaption
IEEE Transactions on Automatic Control, 1971
System identification—A survey
Automatica, 1971
Recursive algorithm for the calculation of the adaptive Kalman filter weighting coefficients
IEEE Transactions on Automatic Control, 1969