An improved passive location algorithm based on UKF

Xiaojun Yang, Fang Lu, Gang Liu, Jinku Guo, You Xu, Rong Wang

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

4 Scopus citations

Abstract

With the merits as far responding distance, hiding receiving and easy-deploying, the single observation passive location has a broad application in military domain and plays an important part in passive radar, navigation and aerospace, etc. With the information of phase-difference, phase-difference rate of change and Doppler frequency rate of change, a new algorithm called PFRC, based on EKF, is proposed. Compared with two popular passive location methods which are bearing-only (BO) and phase-difference rate of change (PRC), the PFRC has good performance in that it has higher precision and higher speed. However, the linearization processing of the EKF introduces truncation error, which degrades the estimation precision. In order to reduce the error, based on the PFRC and the unscented transform, an improved passive location algorithm is proposed. Simulation results show that the proposed algorithm has better estimation precision.

Original languageEnglish
Title of host publication2009 International Conference on Wireless Communications and Signal Processing, WCSP 2009
DOIs
StatePublished - 2009
Externally publishedYes
Event2009 International Conference on Wireless Communications and Signal Processing, WCSP 2009 - Nanjing, China
Duration: 13 Nov 200915 Nov 2009

Publication series

Name2009 International Conference on Wireless Communications and Signal Processing, WCSP 2009

Conference

Conference2009 International Conference on Wireless Communications and Signal Processing, WCSP 2009
Country/TerritoryChina
CityNanjing
Period13/11/0915/11/09

Keywords

  • EKF
  • Linearization
  • Passive location
  • Phase-difference
  • UKF

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