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Research On Indoor Location Method Based On Wireless Sensor Network

Posted on:2016-12-23Degree:MasterType:Thesis
Country:ChinaCandidate:X C LiuFull Text:PDF
GTID:2208330461985711Subject:Communication and Information System
Abstract/Summary:PDF Full Text Request
At this stage, people using the GPS satellite positioning can meet the requirements of outdoor high positioning accuracy, But in indoor positioning the precision of position is poor. In a complex indoor environment, such as the airport hall, supermarket, library, underground parking, etc. How accurate positioning has become a big problem.In this paper, using the Zigbee wireless nodes of the wireless local area network measurement received signal strength indicator(RSSI) as ranging signal,in the analysis of the commonly used triangle weighted centroid localization method and least square method, by increasing the beacon nodes and revised weight, this paper put forward a algorithm that improved quadrilateral weighted centroid localization, to a certain extent, improve the positioning accuracy. Due to the volatile RSSI signal is difficult to precise positioning, after analysing the indoor channel transmission model, using computational intelligence algorithm of mind evolutionary algorithm to optimize BP’s training process, in 3 m × 3 m area, this paper reached 0.2m positioning accuracy. The algorithm proposed in this paper is compared with the conventional BP algorithm and the combination of BP algorithm and genetic algorithm(GA) algorithm, the training has the advantages of fast convergence and stable weight and the positioning accuracy is higher. Also using the radial basis function(RBF) neural network deal with the RSSI data,under the environment of Matlab simulation fitting, in position accuracy, RBF network and mind evolutionary optimization BP algorithm show good consistency to each other, the former offline training time is reduced.
Keywords/Search Tags:received signal strength indicator, mind evolutionary algorithm, weighted centroid, revised weight, radial basis function
PDF Full Text Request
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