Two-step optimal estimator for three dimensional target tracking

Pini Gurfil, N. Jeremy Kasdin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Abstract

This study presents an adaptation of a novel estimation methodology to the general nonlinear three-dimensional problem of tracking a maneuvering target. The two-step optimal estimator (TSE) suggests an attractive alternative to the standard extended Kalman filter (EKF). A superior performance is accomplished by dividing the estimation problem into steps - a linear first step and a nonlinear second step. The target tracking performance of the TSE is shown to be better than an EKF implemented in either inertial or modified spherical coordinates.

Original languageEnglish (US)
Title of host publicationProceedings of the American Control Conference
Pages209-214
Number of pages6
DOIs
StatePublished - Sep 6 2002
Event2002 American Control Conference - Anchorage, AK, United States
Duration: May 8 2002May 10 2002

Publication series

NameProceedings of the American Control Conference
Volume1
ISSN (Print)0743-1619

Other

Other2002 American Control Conference
CountryUnited States
CityAnchorage, AK
Period5/8/025/10/02

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

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    Gurfil, P., & Kasdin, N. J. (2002). Two-step optimal estimator for three dimensional target tracking. In Proceedings of the American Control Conference (pp. 209-214). (Proceedings of the American Control Conference; Vol. 1). https://doi.org/10.1109/ACC.2002.1024805