access icon free A Location Algorithm with Improved Accuracy Based on Correction of Noise High-Order Cumulant

The Non-line-of-sight (NLOS) error is the key issue for mobile user location in cellular wireless communication system. In this paper, we propose a robust and accurate approach using biased Kalman filter based on third-order cumulant to mitigate the NLOS error. The simulation results indicate that with less prior information about communication environments, the approach we present has a better location performance even in severe NLOS situations.

Inspec keywords: radio direction-finding; Kalman filters; higher order statistics; cellular radio

Other keywords: noise correction; NLOS situation; nonline-of-sight error; mobile user location; location algorithm; biased Kalman filter; NLOS error; high-order cumulant; communication environment; cellular wireless communication system; robust approach; third-order cumulant

Subjects: Radionavigation and direction finding; Mobile radio systems; Filtering methods in signal processing; Other topics in statistics

http://iet.metastore.ingenta.com/content/journals/10.1049/cje.2016.08.047
Loading

Related content

content/journals/10.1049/cje.2016.08.047
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading