Multi-classifier global dynamic fusion indoor positioning method
An indoor positioning and multi-classifier technology, which is applied to instruments, services based on location information, nan, etc., can solve the problems of not fully exploiting the intrinsic correlation characteristics of multi-classifiers, the decline of fusion performance, and the reduction of fusion accuracy, so as to improve matching Accuracy, robustness, and the effect of improving accuracy
Active Publication Date: 2017-11-17
齐鲁电科山东科技成果转化有限公司
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[0004] The purpose of the present invention is to: solve the problem in the prior art that the weight solution does not fully tap the inherent correlation characteristics between multiple classifiers, and its fusion performance will be greatly reduced when the performance of the classifiers has a large difference; and RSS In the environment with large fluctuations, the problem of reduced fusion accuracy caused by the measured RSS through Euclidean distance matching selection weights; an indoor positioning method for global dynamic fusion of multi-classifiers is provided
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[0038] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.
[0039] Step 1, establish an RSS fingerprint library for the divided grid point acquisition signal strength, as follows:
[0040] Step 1.1, experimental site layout:
[0041]The experimental environment is a classroom environment of 12.6m×10.8m, located in 411, Liren Building, University of Electronic Science and Technology of China. There are chairs, benches and cabinets in the room. Firstly, the site is divided into 95 grid points, each grid point is 0.6m×0.9m . Use 4 computers with Intel-5300 network cards installed as wireless routers, and their plane coordinates are [0,0] T ,[12,0] T ,[12,1...
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The invention discloses a multi-classifier global dynamic fusion indoor positioning method, belongs to the technical field of positioning a complex indoor signal source target by using a global fusion and online dynamic matching method of multi-classifiers, and solves a problem that weight solution does not fully excavates the inherent correlation between multiple classifiers, and fusion accuracy decreases in environments with large RSS fluctuation. The method comprises establishing a RSS fingerprint database for divided grid point received signal strength; in the RSS fingerprint database, dividing the signal intensity value of each grid point into two parts one of which is used for learning a plurality of classifiers and the other of which is input into the classifiers to predict a result and to calculate the global fusion weight of each grid point according to the result prediction and to store the global fusion weights in a weight matrix; inputting the RSS value of a unknown source to respective classifiers to perform position estimation and determine the estimate the coordinate position of the unknown source according to the optimal fusion weight of the position estimation in a weight matrix index. The multi-classifier global dynamic fusion indoor positioning method is used for indoor positioning.
Description
technical field [0001] The invention discloses an indoor positioning method of global dynamic fusion of multiple classifiers, which is used for indoor positioning, and belongs to the technical field of positioning complex indoor signal source targets by using global fusion of multiple classifiers and online dynamic matching method. Background technique [0002] In recent years, indoor positioning technology has shown broad development prospects and commercial value. For example, the tracking and management of goods in large supermarkets, the real-time monitoring of patients' locations in hospitals, the navigation of collections in museums and smart homes are too numerous to mention. Therefore, under the influence of huge market traction, finding a high-precision real-time positioning system suitable for indoor complex positioning environments has become the research focus of the industry. [0003] Literature [1] S.H.Fang, Y.T.Hsu, and W.H.Kuo, "Dynamic fingerprinting combin...
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IPC IPC(8): H04W4/04H04W64/00G01S11/06
CPCG01S11/06H04W4/04H04W64/00
Inventor 郭贤生李林朱世林徐峰邹晶李会勇
Owner 齐鲁电科山东科技成果转化有限公司
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