Linear TDOA-based Measurements for Distributed Estimation and Localized Tracking

Mohammadreza Doostmohammadian, Themistoklis Charalambous

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

1 Citation (Scopus)


We propose a linear time-difference-of-arrival (TDOA) measurement model to improve distributed estimation performance for localized target tracking. We design distributed filters over sparse (possibly large-scale) communication networks using consensus-based data-fusion techniques. The proposed distributed and localized tracking protocols considerably reduce the sensor network's required connectivity and communication rate. We, further, consider κ-redundant observability and fault-tolerant design in case of losing communication links or sensor nodes. We present the minimal conditions on the remaining sensor network (after link/node removal) such that the distributed observability is still preserved and, thus, the sensor network can track the (single) maneuvering target. The motivation is to reduce the communication load versus the processing load, as the computational units are, in general, less costly than the communication devices. We evaluate the tracking performance via simulations in MATLAB.

Original languageEnglish
Title of host publication2022 IEEE 95th Vehicular Technology Conference - Spring, VTC 2022-Spring - Proceedings
Number of pages6
ISBN (Electronic)978-1-6654-8243-1
Publication statusPublished - 2022
MoE publication typeA4 Article in a conference publication
EventIEEE Vehicular Technology Conference - Helsinki, Finland
Duration: 19 Jun 202222 Jun 2022
Conference number: 95

Publication series

NameIEEE Vehicular Technology Conference
ISSN (Print)1550-2252


ConferenceIEEE Vehicular Technology Conference
Abbreviated titleVTC


  • fault-tolerant design
  • Networked Estimation
  • TDOA measurements
  • κ-redundant distributed observability


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