Position sensing technology and its application is the prerequisite of The Internet of things. This paper mainly discussed the indoor positioning algorithm based on RFID target recognition. Compared to other positioni...
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ISBN:
(纸本)9781424487363
Position sensing technology and its application is the prerequisite of The Internet of things. This paper mainly discussed the indoor positioning algorithm based on RFID target recognition. Compared to other positioning methods, RFID is advantageous for its non-contact and none-line-of-sight feature. RFID-based indoor positioning system landmarc most adjacent neighbor algorithm is a common indoor positioning algorithm, but its result has certain error. This paper introduces pseudo-absolute positioning algorithm and proposes an improved most adjacent neighbor algorithm to improve the precision of indoor positioning. The experiment proves that the improved algorithm has better positioning precision than the original method.
With the development of science and technology, RFID based indoor positioning technology is more and more widely used, among which landmarc indoor positioning system nearest neighbor algorithm has become the mainstrea...
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ISBN:
(纸本)9781665422604
With the development of science and technology, RFID based indoor positioning technology is more and more widely used, among which landmarc indoor positioning system nearest neighbor algorithm has become the mainstream algorithm, aiming at the classic land The existence of multipath effect, noise random variable and various kinds of obstacles in the VIRE, Marc and its improved algorithm, makes reader reading ability decrease, affects the selection of nearest label, and then makes the positioning accuracy of the system decrease. This paper presents a new improvement scheme. Firstly, the RSSI is preprocessed by Gaussian filter, then the adaptive threshold is set, and the RSSI value of virtual reference label is obtained by Newton interpolation method. Then the positioning results are corrected by position correction. At the same time, the boundary virtual reference label is set, and the accuracy of RSSI is improved by these methods, and the coverage of reference label is increased. The simulation results show that the improved algorithm has higher positioning accuracy and stronger stability than landmarc and VIRE algorithm.
An indoor localization technology is increasingly critical as location-aware applications evolve. Researchers have proposed several indoor localization technologies. Because most of the proposed indoor localization te...
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An indoor localization technology is increasingly critical as location-aware applications evolve. Researchers have proposed several indoor localization technologies. Because most of the proposed indoor localization technologies simply involve using the received signal strength indicator value of radio-frequency identification (RFID) for indoor localization, radio-frequency interference, and environmental factors often limit the accuracy of localization results. Therefore, this study proposes an accurate RFID localization based on the neural network (ARL-N-2), a passive RFID indoor localization scheme for identifying tag positions in a room, combining a location identification based on dynamic active RFID calibration algorithm with a backpropagation neural network (BPN). The proposed scheme composed of two phases: in the training phase, an appropriate BPN architecture is constructed using the training data derived from the coordinates of reference tags and the coordinates obtained using the localization algorithm. By contrast, the online phase involves calculating the tracking tag coordinates and using these values as BPN inputs, thereby enhancing the estimated location. A performance evaluation of the ARL-N-2 schemes confirms its high localization accuracy. The proposed method can be used to locate critical objects in difficult-to-find areas by creating minimal errors and applying and economical technique. Copyright (c) 2013 John Wiley & Sons, Ltd.
In this paper we introduce a novel localization algorithm based on visible light communications (VLC) and the trilateration technique. The new algorithm can be used for tracking people or machinery in an underground m...
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ISBN:
(纸本)9781479925810
In this paper we introduce a novel localization algorithm based on visible light communications (VLC) and the trilateration technique. The new algorithm can be used for tracking people or machinery in an underground mining environment. The proposed method utilizes the concept of reference points in order to reduce the location estimation error. The proposed algorithm outperforms the landmarc (location identification based on dynamic active radio frequency identification (RFID) calibration) algorithm, which uses RFID tags to determine the location of an object, in terms of the location estimation error.
An intelligent analysis software for volleyball match is developed by using Intel open CV software and MATLAB software. Then, a method of extracting volleyball motion trajectory using image and video frame is proposed...
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