InSAR phase unwrapping based on extended kalman filtering

Batuhan Osmanoǧlu, Shimon Wdowinski, Timothy H. Dixon, Juliet Biggs

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

12 Scopus citations


InSAR phase measurements are relative, ambiguous due to 2π wrapping, and affected by atmospheric and other noise sources. For many real-world applications unambiguous displacement measurements are necessary. Currently available methods for extracting time series of surface displacement, start with unwrapping in time or space domain. We present a new extended Kalman filtering approach to phase unwrapping, which resolves the 2π ambiguity in a computationally efficient way. Also this algorithm can easily be expanded to use all the data available in space and time dimensions. Several modifications are made to the standard EKF for phase unwrapping. Hence we call our new algorithm as optimized Kalman (OK) filter.

Original languageEnglish (US)
Title of host publication2009 IEEE Radar Conference, RADAR 2009
StatePublished - 2009
Externally publishedYes
Event2009 IEEE Radar Conference, RADAR 2009 - Pasadena, CA, United States
Duration: May 4 2009May 8 2009

Publication series

NameIEEE National Radar Conference - Proceedings
ISSN (Print)1097-5659


Other2009 IEEE Radar Conference, RADAR 2009
Country/TerritoryUnited States
CityPasadena, CA

ASJC Scopus subject areas

  • Electrical and Electronic Engineering


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