Kalman filter for target tracking using coupled RSS and AoA measurements

David Vicente, Slavisa Tomic, Marko Beko, Rui Dinis, Milan Tuba, Nebojsa Bacanin

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

4 Citations (Scopus)

Abstract

This work addresses the target tracking problem that makes use of combined measurements, namely received signal strength (RSS) and angle of arrival (AoA). By linearizing the measurement models and incorporating the prior knowledge obtained from target state transition model, we show that the application of the Kalman filter (KF) to the considered tracking problem is straightforward. Then, an extension of the linearization approach to the case where the target transmit power is not known is introduced and applied to the measurement model to obtain an estimate of the transmit power. By taking advantage of this estimated value, we show that the proposed KF algorithm can easily be generalized to the case of unknown transmit power. Our simulation results confirm the efficacy of the proposed algorithms in comparison with the existing one, as well as the robustness of the proposed approach to not knowing the transmit power. Finally, the supremacy of using the Bayesian approach in comparison with the classical one which disregards the prior knowledge information is also validated through computer simulations.

Original languageEnglish
Title of host publication2017 13th International Wireless Communications and Mobile Computing Conference, IWCMC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2004-2008
Number of pages5
ISBN (Electronic)978-150904372-9
DOIs
Publication statusPublished - 19 Jul 2017
Event13th IEEE International Wireless Communications and Mobile Computing Conference, IWCMC 2017 - Valencia, Spain
Duration: 26 Jun 201730 Jun 2017

Conference

Conference13th IEEE International Wireless Communications and Mobile Computing Conference, IWCMC 2017
CountrySpain
CityValencia
Period26/06/1730/06/17

    Fingerprint

Keywords

  • Angle of arrival (AoA)
  • Kalman filter (KF)
  • Received signal strength (RSS)
  • Target tracking

Cite this

Vicente, D., Tomic, S., Beko, M., Dinis, R., Tuba, M., & Bacanin, N. (2017). Kalman filter for target tracking using coupled RSS and AoA measurements. In 2017 13th International Wireless Communications and Mobile Computing Conference, IWCMC 2017 (pp. 2004-2008). [7986591] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IWCMC.2017.7986591