This paper introduces an indoor global localization method by extending and matching features. In the proposed method, the environment is partitioned into conve
A higher-order cumulant-based weighted least square(HOCWLS) and a higher-order cumulant-based iterative least square(HOCILS) are derived for multiple inputs sin