TDOA/FDOA joint estimation in a correlated noise environment

Guangxiang Yao*, Zhiwen Liu, Yougen Xu

*Corresponding author for this work

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

7 Citations (Scopus)

Abstract

Three typical algorithms for joint estimation of time difference of arrival (TDOA) and frequency difference of arrival (FDOA), including complex ambiguity function method based on the second-order-statistics (CAF-SOS), complex ambiguity function method based on higher-order-statistics (CAF-HOS), and a two-step algorithm based on moment calculations are reviewed, after which two new methods are introduced for correlated noise cancellation via cumulant manipulations. One is a pure HOS- based method while the other is a SOS/HOS integrated method. Both of these two algorithms estimate the TDOA/FDOA in a separate manner, which are superior to the conventional complex ambiguity method for lower computational burden. They also excel the moment method in iusensitivity to the spatially correlated noise. Simulation results are given to validate the behavior of the proposed methods.

Original languageEnglish
Title of host publicationMAPE2005
Subtitle of host publicationIEEE 2005 International Symposium on Microwave, Antenna, Propagation and EMC Technologies for Wireless Communications, Proceedings
Pages831-834
Number of pages4
Publication statusPublished - 2005
EventMAPE2005: IEEE 2005 International Symposium on Microwave, Antenna, Propagation and EMC Technologies for Wireless Communications - Beijing, China
Duration: 8 Aug 200512 Aug 2005

Publication series

NameMAPE2005: IEEE 2005 International Symposium on Microwave, Antenna, Propagation and EMC Technologies for Wireless Communications, Proceedings
Volume1

Conference

ConferenceMAPE2005: IEEE 2005 International Symposium on Microwave, Antenna, Propagation and EMC Technologies for Wireless Communications
Country/TerritoryChina
CityBeijing
Period8/08/0512/08/05

Keywords

  • Correlated noise
  • Frequency difference of arrival (FDOA)
  • Higher order statistics (HOS)
  • Second order statistics (SOS)
  • Time difference of arrival (TDOA)

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