LAUSR.org creates dashboard-style pages of related content for over 1.5 million academic articles. Sign Up to like articles & get recommendations!

Robust Weighted Least Squares Method for TOA-Based Localization Under Mixed LOS/NLOS Conditions

Photo from wikipedia

In this letter, the time-of-arrival-based localization problem under mixed line-of-sight/non-line-of-sight conditions is addressed. Based on the a priori information of known path status, we propose a new robust weighted least… Click to show full abstract

In this letter, the time-of-arrival-based localization problem under mixed line-of-sight/non-line-of-sight conditions is addressed. Based on the a priori information of known path status, we propose a new robust weighted least squares (RWLS) method to improve the performance of the existing RWLS method, and the weights in the new RWLS problem are derived and explicitly given. The proposed RWLS problem is approximately solved by employing the second-order cone relaxation technique. Furthermore, when the path status is incorrectly identified, we propose a procedure of correcting the incorrect path status to make the RWLS method robust against the path status identification errors. The performance of the new RWLS method is verified by computer simulations.

Keywords: weighted least; least squares; based localization; robust weighted; rwls method; path status

Journal Title: IEEE Communications Letters
Year Published: 2017

Link to full text (if available)


Share on Social Media:                               Sign Up to like & get
recommendations!

Related content

More Information              News              Social Media              Video              Recommended



                Click one of the above tabs to view related content.