Automatic selection and positioning method of wifi indoor signal distribution model

Abstract

The invention discloses a WIFI indoor signal distribution model automatic selecting and positioning method. According to the WIFI indoor signal distribution model automatic selecting and positioning method, a polynomial distribution model is invented for complexity of indoor distribution of WIFI signals and combines with a Keenan-Motley electric wave signal intensity distribution model to build a distribution candidate set; each model parameter is estimated according to sampling data, the similar degree between the model and actual signal intensity distribution is automatically assessed, and the purpose of optimum distribution selection in a self-adaptive mode is achieved; linear unbiased estimation of each distribution parameter is estimated in the parameter estimation stage, the predicted residual of the distribution model is computed, the optimum distribution is automatically selected from the candidate set on the basis of the predicted residual, and positioning is conducted. Therefore, a plurality of models can overcome defects of adaptation of a single model, the approximation degree between the distribution model and actual signal distribution is improved, and accuracy of WIFI indoor positioning is improved.

Description

technical field [0001] The invention relates to an indoor WIFI positioning technology, in particular to a method for automatically selecting and locating a WIFI indoor signal distribution model. Background technique [0002] With the development of wireless positioning technology, indoor positioning technology has become a focus of attention. Existing indoor positioning technologies mainly include: optical tracking positioning technology, A-GPS positioning technology, ultrasonic positioning technology, WIFI-based positioning technology, etc. Among them, the positioning technology based on WIFI has the advantages of wide coverage, fast information transmission speed, and low implementation cost, which has attracted people's attention. [0003] Indoor positioning methods using WIFI signals are mainly divided into two categories: fingerprint matching methods and signal distribution model methods. [0004] Among them, the fingerprint matching method uses the WIFI ID (that is, ...

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Problems solved by technology

[0006] Therefore, in view of the above-mentioned problems, the present invention proposes a WIFI indoor signal distribution model automatic selection and positioning method, and invents a polynomial distribution model for the complexity of WIFI signal distribution indoors, and combines the Keenan-Motley radio signal intensity distribution model Construct the distribution candidate set, estimate the parameters of each model according to the sampling data and automatically evaluate the similarity between the model and the actual signal strength distribution, so as to achieve the purpose of adaptively selecting the optimal distribution; estimate the linear unbiased estimation of each distribution parameter in the parameter estimation stage, and Calculate the prediction residual of the distribution model, and automatically select an optimal distribution from the candidate set for positioning based on the prediction residual, so that multiple models can be used to make up for the lack of adaptability of a single model, and the degree of approximation between the distribution model and the actual signal distribution can be improved , so as to improve the accuracy of WIFI indoor positioning

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