Performance Comparison of WiFi and UWB Fingerprinting Indoor Positioning Systems

نویسندگان
چکیده

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Performance Comparison of WiFi and UWB Fingerprinting Indoor Positioning Systems

Ultra-wideband (UWB) and WiFi technologies have been widely proposed for the implementation of accurate and scalable indoor positioning systems (IPSs). Among different approaches, fingerprinting appears particularly suitable for WiFi IPSs and was also proposed for UWB IPSs, in order to cope with the decrease in accuracy of time of arrival (ToA)-based lateration schemes in the case of severe mul...

متن کامل

Sensor fusion for UWB and Wifi indoor positioning systems

This paper advocates the application of sensor fusion for location. More and more sensors, like video, RFID, Wifi, are available in those environments. Fusing all those information is becoming a major task in indoor positioning as all the measurements coming from the sensors are noisy. This noise introduces positioning errors that may vary from one technological system to another. Besides, the ...

متن کامل

Comparison of WiFi-based indoor positioning techniques

Indoor positioning systems is an actively researched area of computer science. Various techniques, methods and applications were developed in the last decade. This paper gives a brief comparison of trilateriation and fingerprinting techniques. Received signal strength of WiFi access points were used during the tests. Standard, genetic algorithm and simulated annealing based trilateriation metho...

متن کامل

Indoor Positioning System Using Wifi Fingerprint

Indoor Positioning System aims at locating objects inside buildings wirelessly, and have huge benefit for indoor location-aware mobile application. To explore this immature system design, we choose UJIndoorLoc database as our data set, use PCA for feature selection, and build prediction models based on decision tree, gradient boosting, kNN and SVM, respectively. Our experiment results indicate ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Technologies

سال: 2018

ISSN: 2227-7080

DOI: 10.3390/technologies6010014