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TDOA wireless positioning method based on improved Kalman filter

A Kalman filter, Kalman filter technology, applied in positioning, wireless communication, radio wave measurement system and other directions, can solve problems such as limiting TDOA positioning accuracy, and achieve the effect of improving positioning accuracy

Inactive Publication Date: 2021-08-27
BEIHANG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In particular, the TDOA algorithm performs well in the LOS (Line of sight) environment, but in practice, due to the interference of obstacles and other factors on the positioning nodes, TDOA is mostly in the non-line-of-sight environment NLOS (None lineof sight), which limits the positioning accuracy of TDOA to a certain extent

Method used

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  • TDOA wireless positioning method based on improved Kalman filter
  • TDOA wireless positioning method based on improved Kalman filter
  • TDOA wireless positioning method based on improved Kalman filter

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Embodiment Construction

[0031] In order to make the purpose, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the implementation methods and accompanying drawings.

[0032] Step 1. Obtain the input signal of the Kalman filter. The label node positioning coordinates are provided by the standard TDOA method, expressed as the input form of the Kalman filter This part does not belong to the scope of the present invention and will not be repeated here.

[0033] Step 2, start the Kalman filter processing, namely figure 2process shown. The process includes six conversion processes and an adjustment process, which are explained as follows according to the sequence of the flow chart (concrete variable interpretations have been given in the summary of the invention):

[0034] (1).Update the status value of a new round. In the k-th round of Kalman filtering, with the help of the previous round of state v...

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Abstract

The invention provides a TDOA wireless positioning method based on an improved Kalman filter, which belongs to the field of radio orientation (G01S), and aims to provide an interactive derivative sequence selection method and an interactive derivative sequence adjustment method which are combined with a Kalman filtering method to enhance TDOA measurement so as to eliminate estimation deviation aiming at the defects of positioning in a non-line-of-sight environment in a TDOA algorithm. Experiments prove that the method greatly improves the wireless positioning precision and positioning effect of TDOA positioning in a non-line-of-sight environment.

Description

technical field [0001] The invention proposes a TDOA wireless positioning method based on an improved Kalman filter, which belongs to the field of radio orientation (G01S). Background technique [0002] In the 21st century when wireless networks have been widely popularized, the definition of wireless networks has been widely extended due to the rapid improvement of sensor, infrared receiver and high-frequency chip technology. Wireless networks are also constantly integrating with the developing Internet of Things technology in many aspects to provide users with more intelligent services. In the context of the continuous maturity of hardware technology, wireless network positioning has become a rapidly developing research direction and research field in the field of wireless network applications. It is also an indispensable and important link in the process of wireless network development and integration. In wireless network positioning technology, the research of wireless...

Claims

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Application Information

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IPC IPC(8): G01S5/02H04W64/00
CPCG01S5/0294H04W64/006
Inventor 童超马伯乐
Owner BEIHANG UNIV