基于多源信息融合的移動(dòng)定位優(yōu)化技術(shù)研究
[Abstract]:The location-based service (LBS), comes along with the mobile internet. Since its birth, it has rapidly penetrated into all aspects of people's lives. Applications such as check-in, maps, and search for peripheral life services are endless, and all are based on precision positioning technology. At present, indoor positioning research is based on RF or sensor positioning, outdoor positioning is mainly based on GPS. However, these localization techniques are confined to a specific environment or scope. How to find a more general location technology based on the synthesis of multi-source location information is a hot topic worth studying. In this paper, based on the current indoor and outdoor positioning, a mobile location technology based on multi-source information fusion is proposed. That is, through Kalman filtering technology, GPS location information, inertial sensor location information, base station location information and road information are fused. The condition of fusion is real-time detection of GPS signal drift and timestamp principle. The optimization algorithm, firstly, alleviates the cumulative error of inertial sensor positioning to a certain extent, and makes inertial sensor better play its autonomous navigation ability; Secondly, can effectively solve the GPS drift, in the absence of network or GPS signal weak environment (such as mountains, tunnels, buildings, etc.), can also achieve a certain degree of positioning; Finally, the seamless switching between indoor and outdoor is realized preliminarily, and the problem of energy consumption for long time positioning of GPS is also reduced. The mobile positioning technology proposed in this paper has passed the experimental test and achieved the above goal, which shows that the design idea and idea of this paper are feasible.
【學(xué)位授予單位】:北京郵電大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2013
【分類號(hào)】:TN929.5;P228.4
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