Добро пожаловать в клуб

Показать / Спрятать  Домой  Новости Статьи Файлы Форум Web ссылки F.A.Q. Логобург    Показать / Спрятать

       
Поиск   
Главное меню
ДомойНовостиСтатьиПостановка звуковФайлыДефектологияКнижный мирФорумСловарьРассылкаКаталог ссылокРейтинг пользователейЧаВо(FAQ)КонкурсWeb магазинШкольникамКарта сайта

Поздравляем!
Поздравляем нового Логобуржца Акулина со вступлением в клуб!

Реклама

КНИЖНЫЙ МИР

Indoor Localisation: State of the Art and Novel Algorithms   Widyawan PhD

Indoor Localisation: State of the Art and Novel Algorithms

152 страниц. 2010 год.
LAP Lambert Academic Publishing
Indoor localisation systems are evolving towards systems that can take advantage of any readily available information in the environment. This type of localisation is called opportunistic localisation system. Some aspects of opportunistic indoor localisation systems, utilising received signal strength (RSS) measurement, need to be enhanced in terms of accuracy and usability. This book explains a learning data fusion algorithm based on a particle filter to increase the accuracy and usability of opportunistic indoor localisation system. The particle filter algorithm is improved with map filtering and backtracking particle filtering to further increase accuracy of the system. To address the usability problem, a learning data fusion algorithm was devised. This was able to automatically generate and calibrate a RSS fingerprint. The algorithm maintained the fingerprint up-to-date, thus achieving self-calibration of the localisation system. In addition, data fusion of different sensory...
 
- Генерация страницы: 0.04 секунд -