Reduced-Complexity Techniques for Indoor Map-Aware Localization

View Researcher II's Other Codes

Disclaimer: “The provided code links for this paper are external links. Science Nest has no responsibility for the accuracy, legality or content of these links. Also, by downloading this code(s), you agree to comply with the terms of use as set out by the author(s) of the code(s).”

Please contact us in case of a broken link from here

Authors Montorsi, F.; Pancaldi, F.; Vitetta, G.
Journal/Conference Name IEEE International Conference on Communications (ICC)
Paper Category
Paper Abstract In this manuscript new reduced complexity localization algorithms exploiting received signal strength measurements and based on the indoor map-aware statistical models illustrated in [1] are developed. Such algorithms exploit search domain reduction techniques and state of the art methods for numerical integration and optimization. Our numerical and experimental results evidence that theirs accuracy is very close to that offered by their optimal counterparts, in spite of their substantially lower computational complexity.
Date of publication 2015
Code Programming Language MATLAB

Copyright Researcher II 2022