Array-based GNSS signal tracking with a reduced state signal model

Sangwoo Lee; Elena-Simona Lohan; Sunwoo Kim

doi:10.1109/TAES.2016.150024

Array-based GNSS signal tracking with a reduced state signal model

Sangwoo Lee
, Elena-Simona Lohan
, Sunwoo Kim^*

^*Tämän työn vastaava kirjoittaja

Tutkimustuotos: Artikkeli › Tieteellinen › vertaisarvioitu

12 Sitaatiot (Scopus)

Abstrakti

This paper introduces a reduced state signal model in which interfering signals are suppressed with the help of beamforming. Based on our model, a particle filtering algorithm integrated with beamformer for satellite navigation signal tracking is proposed to increase the computational efficiency and the robustness to the signal model mismatch from unknown interference. Through extensive simulations and flop complexity analysis, we verify the superiority of the proposed algorithm against existing Bayesian filtering algorithms without beamforming.

Alkuperäiskieli	Englanti
Sivut	1267-1283
Sivumäärä	17
Julkaisu	IEEE Transactions on Aerospace and Electronic Systems
Vuosikerta	52
Numero	3
DOI - pysyväislinkit	https://doi.org/10.1109/TAES.2016.150024
Tila	Julkaistu - 1 kesäk. 2016
OKM-julkaisutyyppi	A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä

Julkaisufoorumi-taso

Jufo-taso 2

!!ASJC Scopus subject areas

Electrical and Electronic Engineering
Aerospace Engineering

Pääsy asiakirjaan

10.1109/TAES.2016.150024

Siteeraa tätä

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title = "Array-based GNSS signal tracking with a reduced state signal model",

abstract = "This paper introduces a reduced state signal model in which interfering signals are suppressed with the help of beamforming. Based on our model, a particle filtering algorithm integrated with beamformer for satellite navigation signal tracking is proposed to increase the computational efficiency and the robustness to the signal model mismatch from unknown interference. Through extensive simulations and flop complexity analysis, we verify the superiority of the proposed algorithm against existing Bayesian filtering algorithms without beamforming.",

author = "Sangwoo Lee and Elena-Simona Lohan and Sunwoo Kim",

year = "2016",

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doi = "10.1109/TAES.2016.150024",

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T1 - Array-based GNSS signal tracking with a reduced state signal model

AU - Lee, Sangwoo

AU - Lohan, Elena-Simona

AU - Kim, Sunwoo

PY - 2016/6/1

Y1 - 2016/6/1

N2 - This paper introduces a reduced state signal model in which interfering signals are suppressed with the help of beamforming. Based on our model, a particle filtering algorithm integrated with beamformer for satellite navigation signal tracking is proposed to increase the computational efficiency and the robustness to the signal model mismatch from unknown interference. Through extensive simulations and flop complexity analysis, we verify the superiority of the proposed algorithm against existing Bayesian filtering algorithms without beamforming.

AB - This paper introduces a reduced state signal model in which interfering signals are suppressed with the help of beamforming. Based on our model, a particle filtering algorithm integrated with beamformer for satellite navigation signal tracking is proposed to increase the computational efficiency and the robustness to the signal model mismatch from unknown interference. Through extensive simulations and flop complexity analysis, we verify the superiority of the proposed algorithm against existing Bayesian filtering algorithms without beamforming.

U2 - 10.1109/TAES.2016.150024

DO - 10.1109/TAES.2016.150024

M3 - Article

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SN - 0018-9251

VL - 52

SP - 1267

EP - 1283

JO - IEEE Transactions on Aerospace and Electronic Systems

JF - IEEE Transactions on Aerospace and Electronic Systems

IS - 3

ER -

Array-based GNSS signal tracking with a reduced state signal model

Abstrakti

Julkaisufoorumi-taso

!!ASJC Scopus subject areas

Pääsy asiakirjaan

Sormenjälki

Siteeraa tätä