Moving target fingerprint indoor positioning method based on domain adversarial neural network
A neural network and moving target technology, which is applied in the indoor positioning field of moving target fingerprints based on domain confrontation neural network, can solve the problems of low positioning efficiency, low positioning accuracy rate, and long positioning time, and achieve high positioning efficiency and feature elimination. difference, the effect of high positioning accuracy
Active Publication Date: 2021-06-11
XIDIAN UNIV
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Problems solved by technology
[0005]
The purpose of the present invention is to address the deficiencies in the above-mentioned existing methods, and propose a fingerprint indoor positioning method based on domain confrontation neural network, which is used to solve the problem that the positioning accuracy rate is greatly reduced after the environment changes in the existing fingerprint indoor positioning method. It is necessary to re-do the tedious work of building an offline fingerprint database, which makes the positioning method take a long time, the positioning efficiency is low, and it is not practical, and it is not suitable for various positioning scenarios in practice.
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[0036] The present invention will be described in further detail below in conjunction with the accompanying drawings.
[0037] refer to figure 1 , the steps of the present invention are further described in detail.
[0038] Step 1, generate source domain sample set.
[0039] Set a transmitter in the center of the indoor area to be positioned, divide the indoor area to be positioned into n square grids, n≥30; use a mobile device to collect data packets from the transmitter at the center of each grid , the data package group is preprocessed, and the preprocessed data of each grid and the center position coordinates of the corresponding grid form the source domain sample of the grid; the source domain samples of all grids form the source domain sample set, and add domain labels to the source domain samples.
[0040] The steps of the pretreatment are as follows:
[0041]The first step is to estimate the channels of the n data packet groups by each group of data packets receive...
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The invention discloses a moving target fingerprint indoor positioning method based on a domain adversarial neural network, and aims to provide a convenient fingerprint updating and accurate indoor positioning function for a user online in an indoor scene with frequent environment change. The method comprises the following steps of: generating a source domain sample set; constructing a feature extraction module; constructing a label prediction network; forming a label prediction network by the feature extraction module and the label module; training the label prediction network; generating a target domain sample set; constructing a domain classification network; forming a domain classification network by a feature extraction module and a domain module; training the domain classification network; and performing position estimation on target domain samples. According to the method, the difference between sample sets is eliminated, the positioning accuracy is improved, and the network parameters are updated; and therefore, compared with the prior art, the method has higher positioning efficiency and higher practicability in an actual scene.
Description
technical field [0001] The invention belongs to the technical field of communication, and further relates to an indoor positioning method of moving target fingerprints based on a domain confrontation neural network in the technical field of target positioning. The present invention can be used in indoor scenes with fewer obstacles, especially in indoor scenes with frequent environmental changes, and can provide users with convenient online fingerprint update and accurate indoor positioning functions. Background technique [0002] The existing indoor positioning methods can be divided into the following two types according to the positioning methods: the geometric indoor positioning method and the fingerprint indoor positioning method, among which the fingerprint indoor positioning method is more practical. In actual positioning scenarios, changes in channel state information (CSI) caused by indoor environments will affect positioning accuracy in actual situations. Tradition...
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IPC IPC(8): G01S5/02G06K9/62G06N3/04G06N3/08
CPCG01S5/0252G06N3/084G06N3/047G06F18/241G06F18/2415Y02D30/70
Inventor 刘伟顿志强
Owner XIDIAN UNIV