MIMO-OFDM NLOS Identification Algorithm Based on Hypothesis Test

DOI

10.2991/iccsee.2013.323How to use a DOI?

Keywords

Position Location, MIMO-OFDM, NLOS Identification, Hypothesis Test, Rician K-factor

Abstract

A NLOS identification algorithm based on rician K-factor hypothesis test was proposed to mitigate position location bias caused by NLOS propagation in MIMO-OFDM system. A multi-antenna rician K-factor estimation method was derived from the correlation difference of deterministic and diffuse component between antennas. A rician K-factor decision model was established according to signal propagation environment. The identification result was derived from the decision model with the estimated K-factor. Simulation results showed that the proposed algorithm could achieve good identification performance even when K was small and had a good robustness to antenna configuration and scattering distribution.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Weibo Zhao
AU  - You Zhou
AU  - Hanying Hu
PY  - 2013/03
DA  - 2013/03
TI  - MIMO-OFDM NLOS Identification Algorithm Based on Hypothesis Test
BT  - Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)
PB  - Atlantis Press
SP  - 1289
EP  - 1292
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccsee.2013.323
DO  - 10.2991/iccsee.2013.323
ID  - Zhao2013/03
ER  -