| Summary: | 碩士 === 國立成功大學 === 電機工程學系碩博士班 === 98 === Along with the advances of the processor technologies and wireless communications, the wireless sensor network (WSN) technology is expected to have salient influences on our daily life and its proposed applications already provide unprecedented opportunities in various domains. In most of these applications, the primary issue is to locate the location of nodes in the sensor network. To locate the nodes, the cheap and widely available measurement technique – received signal strength (RSS) – is usually taken into the indoor localization system.
Although a myriad of sophisticated localization algorithms have been developed and claim to have acceptable results under certain circumstances, the RSS-based indoor localization systems in real world scenario are still mired in difficulties due to the RSS intrinsic sensitivity to noise, environment as well as measurement error. As a result, this thesis is dedicated to develop and implement localization procedure with outlier detection technique and propose a new outlier detection scheme which can detect the noisy data and error in data sequence and proceed to cope with it. Furthermore, this thesis constructs an RSS-based indoor localization system based on ZigBee protocol and designs a portable watch-type user device so that the proposed outlier detection scheme can be adopted into the real world scenario and each device can determine its position by itself. According to the experimental results, the proposed outlier detection scheme can indeed detect the outliers in the target data sequence and also mitigate the localization and tracking error.
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