Open AccessImproved line‐of‐sight/non‐line‐of‐sight classification methods for pulsed ultrawideband localisation
Author(s) -
Abbasi Arash,
Liu Huaping
Publication year - 2014
Publication title -
iet communications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.355
H-Index - 62
eISSN - 1751-8636
pISSN - 1751-8628
DOI - 10.1049/iet-com.2013.0438
Subject(s) - non line of sight propagation , computer science , skewness , multilateration , algorithm , line (geometry) , line of sight , impulse response , time of arrival , artificial intelligence , channel (broadcasting) , pattern recognition (psychology) , statistics , wireless , mathematics , telecommunications , physics , optics , astrophysics , mathematical analysis , azimuth , geometry
Classification of line‐of‐sight (LOS) or non‐LOS (NLOS) propagation is critical for most pulsed ultrawideband localisation systems. In this letter, first, the authors propose a two‐dimensional (2D) LOS/NLOS classification scheme that uses skewness of the channel impulse/pulse response, which has not been used by existing work. The log‐likelihood ratio of the 2D LOS/NLOS classification is used to determine the weights for localisation. Then, the authors derive an iterative Gauss–Newton method to solve the location of the target, which provides a higher accuracy than the Gauss–Newton method used in existing work. Finally, they investigate improved localisation by incorporating the statistics of NLOS bias as a result of LOS/NLOS classification into the cost function, and derive the statistics of the corresponding errors of location estimates. The proposed 2D LOS/NLOS classification scheme is compared with an existing 3D scheme to demonstrate its effectiveness.