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Wireless positioning method under visual distance and non-visual distance mixed environment

A positioning method and hybrid environment technology, applied in wireless communication, location-based services, electrical components, etc., can solve problems such as lack of universality, reduce algorithm complexity, reduce estimation variance, and improve positioning accuracy Effect

Inactive Publication Date: 2009-07-15
JIANGSU UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, in actual situations, it is difficult to satisfy the above three probability models in a complex and changeable communication environment.
Therefore, this method is not universal

Method used

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  • Wireless positioning method under visual distance and non-visual distance mixed environment
  • Wireless positioning method under visual distance and non-visual distance mixed environment
  • Wireless positioning method under visual distance and non-visual distance mixed environment

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0024] Such as figure 1 As shown, a wireless positioning method in a line-of-sight and non-line-of-sight mixed environment includes the following steps:

[0025] step 1:

[0026] 1) Establish the motion state equation of the mobile station:

[0027] Assuming that the mobile station moves in a two-dimensional plane, the motion state at time k is set to X k , X k = ( x k , y k , x · k , y · k ) T , where (x k ,y k ) represents the position of the mobile station in x and y coordinates, for the corresponding speed. Then the moti...

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Abstract

The invention relates to a wireless locating method which can be used for location with high degree of accuracy in a mixed environment of sight distance and non-line of sight. The method first sets up motion equations and observation equations of wireless location and then expresses state transition probability model of the non-line of sight and the sight distance, which can make use of rectified extended Kalman filter (EKF) to estimate the motion state and the non-line of sight state according to measured values obtained by every base station and then blends the motion state and the non-line of sight state together through the use of a data fusion method to get the estimation of the motion state at the present moment and at last on-line wireless device position solutions can be realized through loop iteration. The method of the invention can effectively solve the non-line of sight influence in wireless location so as to effectively improve the motion state estimation of wireless devices, which has robustness to LOS / NLOS transition probability in different environments. At the same time, the method is suitable for VLSI parallel processing, operand can meet real time requirements, and the method is suitable for different signal measuring methods such as TOA, RSS, etc.

Description

technical field [0001] The invention relates to a wireless positioning method under mixed conditions of line-of-sight and non-line-of-sight, which can be applied to various wireless positioning systems and belongs to the technical field of communication signal processing. Background technique [0002] Wireless positioning, that is, estimating the position of a mobile station (MS) in a wireless communication network, as a high value-added service in wireless communication, has attracted more and more attention and has high research value. This technology has a wide range of applications in public safety services (such as: emergency medical treatment, emergency positioning, emergency alarm service), crime detection, location-sensitive payment and ship management, navigation and intelligent transportation systems. The U.S. Federal Communications Commission (FCC) mandates that network-based wireless location accuracy be accurate to 100 meters 67 percent of the time and 300 meter...

Claims

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Application Information

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IPC IPC(8): H04W4/02H04W64/00
Inventor 陈亮胡红梅
Owner JIANGSU UNIV
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