Research on Airborne Passive Location Based on Extend Kalman Filter with Control Inputs

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper describes the principle and method of traditional Kalman Filter (KF) algorithm and Extended Kalman Filter (EKF) with control inputs. An airborne 3D model of passive location system is established. And then the linearization of the nonlinear observation model and the steps and formulas of the recursive filtering estimation with the EKF with control inputs are derived. Finally, the using of the EKF with control inputs algorithm to solve passive location method based on the azimuth angle and pitching angle information is verified by computer simulation. The results show that this method is a new process with practical engineering significance.

Original languageEnglish
Title of host publicationProceedings - 2016 3rd International Conference on Information Science and Control Engineering, ICISCE 2016
EditorsShaozi Li, Yun Cheng, Ying Dai
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1389-1392
Number of pages4
ISBN (Electronic)9781509025350
DOIs
StatePublished - 31 Oct 2016
Event3rd International Conference on Information Science and Control Engineering, ICISCE 2016 - Beijing, China
Duration: 8 Jul 201610 Jul 2016

Publication series

NameProceedings - 2016 3rd International Conference on Information Science and Control Engineering, ICISCE 2016

Conference

Conference3rd International Conference on Information Science and Control Engineering, ICISCE 2016
Country/TerritoryChina
CityBeijing
Period8/07/1610/07/16

Keywords

  • Airborne passive locationt model
  • EKF with control inputs

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