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Two-step positioning method of wireless sensor network based on total least squares

A total least squares, wireless sensor technology, applied in the field of signal processing, can solve the problems of positioning signal attenuation, large errors, high-precision clocks and expensive sensor arrays, etc., to achieve simple equipment, low power consumption, and reduce multipath and shadowing effects

Active Publication Date: 2013-10-02
DALIAN UNIV OF TECH
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Problems solved by technology

Due to the complex indoor environment, the occlusion of walls, floors and various objects will cause complex attenuation of the signal used for positioning
TOA, TDOA and AOA have large errors when used indoors, and the cost of high-precision clocks and sensor arrays is also expensive.

Method used

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  • Two-step positioning method of wireless sensor network based on total least squares
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  • Two-step positioning method of wireless sensor network based on total least squares

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Embodiment Construction

[0013] The present invention will be further described below in conjunction with accompanying drawing:

[0014] Such as figure 1 As shown: the present invention is divided into three modules, a fitting model parameter acquisition module, a distance estimation module and a position positioning module. The fitting model parameter acquisition module serves the distance estimation and position positioning module, collects the relative distance between the reference node and the terminal in the actual environment and the corresponding RSS value in advance, and performs the relationship curve model fitting training to obtain the model parameters; the distance estimation module According to the parameters obtained by the fitting model training, the real-time collected RSS value is used for distance estimation, and different model parameters are selected for estimation according to the RSS value; the distance and reference node coordinates obtained by the distance estimation module ar...

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Abstract

The invention discloses a two-step positioning method of a wireless sensor network based on total least squares, and belongs to the technical field of signal processing. According to the method, a fitting model parameter obtaining module, a distance estimation module and a position positioning module are adopted, the fitting model parameter obtaining module serves the distance estimation module and the position positioning module, the relative distance between a reference node in a practical environment and the terminal and the corresponding RSS (received signal strength) value are collected in advance in real time, and the relative distance and the RSS value are subjected to relationship curve model fitting training to obtain model parameters; the distance estimation module utilizes the real-time collected RSS value for carrying out distance estimation according to the parameters obtained through fitting model training, and different model parameters are selected for estimation according to the RSS value; and the distance obtained by the distance estimation module and the reference node coordinate are used as the input of the position positioning module, and the output of the position positioning module is the estimation value of unknown node coordinates.

Description

technical field [0001] The invention relates to a two-step positioning method for a wireless sensor network based on overall least squares, and belongs to the technical field of signal processing. Background technique [0002] Positioning technology has a wide range of applications in the fields of automobiles, navigation, intelligent transportation systems, location-based services, and military reconnaissance. With the development of smart home technology, the demand for indoor positioning is becoming more and more intense. At present, most wireless positioning technologies (such as GPS) are mainly suitable for outdoor positioning. For indoor positioning, infrared and ultrasonic positioning technologies have certain limitations. For example, infrared ranging errors are relatively large, and ultrasonic methods are greatly affected by temperature and humidity. . The wireless sensor network developed in recent years has obvious advantages in indoor positioning applications. ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04W64/00H04W84/18
Inventor 陈喆殷福亮韩文婷
Owner DALIAN UNIV OF TECH
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