An ambiguity-resovled correction algorithm of phase interferometer based on kalman prediction

Zixiang Wei, Wei Cui, Feng Li, Jingjing Li, Jing Tian

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

6 Citations (Scopus)

Abstract

An ambiguity-resolved correction algorithm based on Kalman prediction (ARCKP) aims to correct errors in resolving phase ambiguity of multi-baseline phase interferometer. The algorithm takes Kalman predictive values as criteria that ambiguity resolved are right or not and uses the predictive values to correct error positions. Analysing judgment threshold of outlier and comparing with exiting algorithms. Simulation results indicate that the new algorithm can better identify outliers and correct data when longer processing interval and higher dynamic exists.

Original languageEnglish
Title of host publicationIET International Radar Conference 2013
Edition617 CP
DOIs
Publication statusPublished - 2013
EventIET International Radar Conference 2013 - Xi'an, China
Duration: 14 Apr 201316 Apr 2013

Publication series

NameIET Conference Publications
Number617 CP
Volume2013

Conference

ConferenceIET International Radar Conference 2013
Country/TerritoryChina
CityXi'an
Period14/04/1316/04/13

Keywords

  • Ambiguity-resolved correction
  • Kalman prediction
  • Phase interferometer

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