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2012•Unpublished venueRequires access

Time of arrival and Time Sum of arrival based NLOS identification and localization

Zhilong Zheng, Jingyu Hua, Yuan Wu, Hao Wen, Limin Meng

Open publisher page 15 citations

Abstract

Non-Line of Sight (NLOS) error due to the blockage of direct paths has been considered as the major problem in the wireless localization. Therefore, this paper studies the influence on different algorithms caused by the same NLOS error in order to identify LOS base stations (BS) from NLOS BS. Specifically, Time of Arrival (TOA) based algorithm and Time Sum of arrival (TSOA) based algorithm are chosen to be the two different localization algorithms to detect the LOS BS in this paper. Simulations show that the proposed strategy presents superior performance in Dense NLOS environment.

About this research paper

What this paper is about

Non-Line of Sight (NLOS) error due to the blockage of direct paths has been considered as the major problem in the wireless localization. Therefore, this paper studies the influence on different algorithms caused by the same NLOS error in order to identify LOS base stations (BS) from NLOS BS. Specifically, Time of Arrival (TOA) based algorithm and Time Sum of arrival (TSOA) based algorithm are chosen to be the two different localization algorithms to detect the LOS BS in this paper. Simulations show that the proposed strategy presents superior performance in Dense NLOS environment.

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OpenAlex reports 15 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Non-Line of Sight (NLOS) error due to the blockage of direct paths has been considered as the major problem in the wireless localization. Therefore, this paper studies the influence on different algorithms caused by the same NLOS error in order to identify LOS base stations (BS) from NLOS BS. Specifically, Time of Arrival (TOA) based algorithm and Time Sum of arrival (TSOA) based algorithm are chosen to be the two different localization algorithms to detect the LOS BS in this paper. Simulations show that the proposed strategy presents superior performance in Dense NLOS environment.

Key concepts: Non-line-of-sight propagation, Time of arrival, Computer science, Base station, Algorithm, Arrival time, Identification (biology), Angle of arrival

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