Passive indoor positioning method and device

An indoor positioning and passive technology, applied in passive passive indoor target positioning, wireless sensor network indoor personnel target positioning, can solve the problem of poor filtering effect of RSS samples, low positioning accuracy of machine learning methods, and poor generalization Strong and other issues

Active Publication Date: 2018-04-06
INST OF SEMICONDUCTORS - CHINESE ACAD OF SCI
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] The purpose of the present invention is to provide a passive passive indoor positioning method and device to solve the problem of filtering RSS samples in a more complex environment, that is, a non-open environment, such as an ordina

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  • Passive indoor positioning method and device
  • Passive indoor positioning method and device
  • Passive indoor positioning method and device

Examples

Experimental program
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Embodiment 1

[0090] The number of coordinates in Embodiment 1 is 18, numbered 1-18 respectively. It should be noted that in order to reduce the impact of interference, the RSS values ​​of all radio frequency network links collected when there is no target in the monitoring area can be used as reference samples, and the training samples and reference samples are differentiated to determine the difference value signal, as the training samples. Therefore, in this embodiment, it is necessary to add the situation when there is no target in the monitoring area, a total of 19 sets of training data samples. Similarly, the number of coordinates in Example 2 is 12, numbered 1-12 respectively, plus the situation when there is no target in the monitoring area, there are 13 sets of training samples in total. When collecting training samples, the target stands at each coordinate, and 480 samples are collected for each coordinate point, and each sample consists of 48 dimensions (the number of links betw...

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Abstract

The invention discloses a passive indoor positioning method, and the method comprises the steps: enabling the collected radio frequency network link RSS values, collected by a target at all coordinates in a non-empty room, as the training samples, and taking the coordinate numbers as the sample labels; carrying out the two-dimensional double-correlation distributed wavelet filtering of the training samples, and determines he filtered training samples; building an Adaboost.M2 integrated learning model based on a Geni decision tree, employing the filtered training samples and the sample labels for training, and determining the trained model; collecting the RSS values of the target when the target freely moves in a monitored region, taking the RSS values as test samples, carrying out the two-dimensional double-correlation distributed wavelet filtering of the test samples, inputting the filtered test samples into the trained model, and determining a positioning result. The method can distinguish and filter the RSS sample noises and random interference, and keeps the normal hop data. Meanwhile, a positioning process is very strong in generalization capability, and can improve the positioning accuracy and stability. The method also provides a corresponding device.

Description

technical field [0001] The invention relates to the technical field of wireless sensor network indoor personnel target positioning, in particular to the technical field of passive passive indoor target positioning based on radio frequency received signal strength in a non-empty and complex indoor environment. Background technique [0002] The indoor positioning method of human targets based on wireless radio frequency sensor network does not require the active cooperation and carrying of electronic tags by the located targets. , resulting in occlusion, that is, a shadow effect, which affects the received signal strength value (RSS) of network sensor nodes, and the location of the target can be judged by collecting and analyzing RSSI samples. Due to the characteristics of radio frequency signals, this method has the advantages of insensitivity to ambient temperature, humidity, light and non-metallic obstacles, convenient networking and low cost, so it has great potential in t...

Claims

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Application Information

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IPC IPC(8): G01S5/02
CPCG01S5/0252
Inventor 毛文宇鲁华祥王渴龚国良陈刚金敏
Owner INST OF SEMICONDUCTORS - CHINESE ACAD OF SCI
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