Skip to main navigation Skip to search Skip to main content

Sigma point Kalman filters for multipath channel estimation in CDMA networks

  • King Fahd University of Petroleum and Minerals

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

13 Scopus citations

Abstract

The paper investigates time delay and channel gain estimation for multipath fading Code Division Multiple Access (CDMA) signals using the Sigma Point Kalman Filters (SPKF), namely Unscented Kalman Filter (UKF) and second order Divided Difference Filter (DDF). Given the nonlinear dependency of the channel parameters on the received signals in multiuser/multipath scenarios, we show that the SPKF achieve better performance than its linear counterparts. This derivativefree Kalman filtering approach, avoids the errors associated with linearization in the conventional Extended Kalman Filter (EKF). The numerical results also show that the proposed SPKF algorithms are simpler to implement, and more resilient to nearfar interference in CDMA networks.

Original languageEnglish
Title of host publicationProceedings of the 2009 6th International Symposium on Wireless Communication Systems, ISWCS'09
Pages423-427
Number of pages5
DOIs
StatePublished - 2009
Externally publishedYes
Event2009 6th International Symposium on Wireless Communication Systems, ISWCS'09 - Tuscany, Italy
Duration: 7 Sep 200910 Sep 2009

Publication series

NameProceedings of the 2009 6th International Symposium on Wireless Communication Systems, ISWCS'09

Conference

Conference2009 6th International Symposium on Wireless Communication Systems, ISWCS'09
Country/TerritoryItaly
CityTuscany
Period7/09/0910/09/09

Fingerprint

Dive into the research topics of 'Sigma point Kalman filters for multipath channel estimation in CDMA networks'. Together they form a unique fingerprint.

Cite this