RFID read-range and position estimation improvement methods and algorithms

OData support
Supervisor:
Dr. Loványi István
Department of Control Engineering and Information Technology

People use to associate to navigation systems at the first sight of this word: „positioning”. They usually think about the GPS based nativation systems, used by driving. But the method of localization is not only used at outdoor. Indoor positioning is also an important problem in our days, which is not only based on GPS systems.

Researches of indoor localization are very popular nowadays, and the purpose to locate different items, elements, or moves of robotics.

Because of the lack of earth satellites inside the buildings, GPS based localization methods can not be used at indoor localization systems, so we have to find an alternative solution for this problem.

The idea is started by the problem of clever dog collar, where the target is to navigate the dog to the item which is required by his owner. If the dog managed to find the element, than he brings it back to his keeper.

But first we have to identify the products somehow, because dogs are not know what does „shoe” or „key” mean, and we also have to be able to navigate the dog the item’s current position. One of the most important things is to know the target position exactly.

The positive property of the RFID systems is the ability to use passive tags to create and build up a system, where only the reader needs current supply, so the maintenance requires less support and cost.

Disadvantages of these systems are the small range of the reading, and the lack of robust. We can eliminate these disadvantages by using bigger readers or active tags, but in this case we could lose the advantages of the current passive RFID system and costs could be higher also.

So the target is to implement system with different algorithms or methods by the current hardware elements, and to raise the range of reading and the property of robust.

Downloads

Please sign in to download the files of this thesis.