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Author: search.filters.author.Cherntanomwong, PanaratSubject: search.filters.subject.RFID

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    RFID based localization techniques for indoor environment
    (2010-05-24)
    Pathanawongthum, Nichapat
    ;
    Cherntanomwong, Panarat
    In this paper, the Radio Frequency Identification (RFID) technology is used for indoor localization (i.e. location estimation). The location of a RFID reader is estimated based on the known locations of the RFID tags attached to the ceiling with 60 cm separation. Two arranged pattern of tags are considered. One is a square arranged pattern and another one is a triangle arranged pattern. Then, two simple location estimation methods are employed. The basic principle of location estimation for both methods is based on the average of the locations of detected tags observed by the reader. For the first estimation method, only maximum and minimum coordinates of detected tag are average. But for the second estimation method, all coordinates of detected tag are average. The effectiveness of tag arranged pattern and the location estimation methods is evaluated by the indoor experiment data. The results of the location estimated by both methods are compared. Also, the results of location estimation using the square and triangle arranged patterns are also shown. It is illustrated that the triangle arranged patterns gives better results than the square pattern in some certain. Moreover, the location estimations error for all observed locations for both methods are less than 30 cm. Furthermore, the average of the location estimation error for both methods is less than 15 cm. This is satisfied and applicable for some indoor applications.
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    Indoor localization technique using passive RFID tags
    (2009-12-01)
    Boontrai, Dokor
    ;
    Jingwangsa, Thidarat
    ;
    Cherntanomwong, Panarat
    In this paper, Radio Frequency Identification (RFID) technology is used for localization system. The location of a RFID reader is estimated based on the known locations of RFID tags using the UHF band RFID system. The new location estimation method based on the angulation technique is proposed to determine the reader location in real time. For angulation technique, the RFID reader is held on the camera tripod and it is considered as the target to be localized. The passive tags are attached at the known location and considered as the references. In this case, the RFID tags are put in the horizontal straight line on different sides on the walls (around the corner). The required parameter is the angle between the tag and the reader. In this paper, a compass is employed to measure the angle between the tag and the reader. Therefore, at least two angles are needed and further used to calculate the true location of the reader by using two formulated linear equations. This technique is verified using the experiment data. Two experiments are conducted with two different distances between tags and reader, i.e. 100 cm and 150 cm. The experiment results of location estimation show that the average location estimation error is around 16 cm for the 100 cm distance and around 20 cm for the 150 cm distance. This implies that the proposed method is satisfied to use for indoor applications. ©2009 IEEE.
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    Empirical evaluation of RFID-based indoor localization with human body effect
    (2009-12-01)
    Pathanawongthum, Nichapat
    ;
    Cherntanomwong, Panarat
    In this paper, the human body effect on indoor localization is evaluated based on experiments. Radio Frequency Identification (RFID) technology is used for this localization system. The location of a RFID reader is estimated based on the known locations of the RFID tags attached to the ceiling with 60 cm separation. Two cases of experiments are considered. For the first case, the RFID reader is attached to the camera tripod and the second case, it is attached to human body. Then, two simple location estimation methods are employed. To evaluate the effect of human body on the localization, the results of location estimation with and without human are compared. The experimental results illustrate that the human body affects the location estimation in some certain. However, the error of location estimation is still less than 50 cm which is applicable for some indoor applications. ©2009 IEEE.