英文摘要 | The location information of the user position is one of the most importantcontext in intelligent spaces, is the fundamental guarantee for intelligent space systems to provide service actively and appropriately. However, on one hand, most existing location systems are based on the special-purpose infrastructure and sensor signals, which make them do not accord with the pervasive computing model that adopted by intelligent spaces generally, and they are unable to meet the general application demand of the intelligent spaces. On the other hand, a mass of mobile user related non-location signals exist but have not been used effectively as the intelligent spaces coupling the physical spaces closely. For the above-mentioned contradiction, this dissertation introduces the study of intelligent spaces-oriented location-aware computing that regarding carrying out physical experiments as the basic research methods and utilizing the latest communication technology, embedded technology and artificial intelligence comprehensively. Firstly, the research goal, the essential features and the main challenges of intelligent spaces are summarized. Then, combined with the typical location-aware systems, the computing process, the realizing principle, the basic sensing technology and the current development of location-aware computing are analyzed. Finally, the layered model and key problems needed to be fixed in intelligent spaces are proposed. This dissertation will address following research work in the main body in detail. For system design, the experimental prototype system which supports the intelligent spaces-oriented location-aware computing has been constructed completely. This research work includes network technology selection, low-cost high-frequent PCB antenna design, hardware module design, application framework design, network stack coding and signal collection software coding. For experiment analysis, the features of the RF signal have been analyzed and the location characteristics of the RF signal also have been extracted. This research work includes analyzing the relationship between the signal dynamic variation and the physical scenes in terms of the RF link model, carrying out a series of physical experiments to validate the large-scale fading, multi-path effects, analyzing the long-term and short-term dynamic features through statistical methods, analyzing the cluster phenomenon of signals collected from different locations in multidimensional digital s... |
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