Indoor Wireless Tomography Enhancement Method Based on Motion Prediction and Deletion of Interfering Links

Abstract

The invention discloses an indoor wireless tomography enhancement method based on motion prediction and deletion of interference links, and belongs to the technical field of target detection and tracking in wireless networks. Use clustering to find a set of intersection points composed of shadow fading links, and the center of the set is used as an estimate of the target position at the initial time. Kalman filtering is used to obtain an estimate of the target position at the current time using the target motion model and the positioning results at the previous time, thereby deleting the distance target. For the far-distant interference link, RTI imaging is performed through the shadow fading link at last, and the current position of the target is obtained by Kalman update on the basis of RTI. Eliminate the influence of non-shadow fading links based on motion prediction, effectively eliminate false targets, and more accurately highlight the attenuation effect caused by the existence of targets, thereby making target positioning more accurate in multipath environments, improving imaging quality, and achieving better dynamics track.

Description

technical field [0001] The invention relates to a positioning method of a wireless tomography system, in particular to a more accurate measurement and positioning model of a wireless tomography system based on motion prediction and deletion of interference links, and belongs to the technical field of target detection and tracking in wireless networks. Background technique [0002] Wireless tomography (RTI) is a technology that uses wireless nodes to locate and track targets. It images the monitoring area according to the link attenuation caused by target occlusion in the monitoring area, and realizes the positioning and tracking of the target. Wireless tomography does not require the target to carry anything, and it only requires the received signal strength (RSS) value of the wireless node, which most wireless devices can provide today. Therefore, this technology can be easily extended to the existing network without adding any hardware. The technology has a wide range of ...

AI Technical Summary

Problems solved by technology

However, for the situation that a reflection path with strong power is blocked by the target, because the characteristics in the time domain of this situation are the same as those in the time domain when the LOS path is blocked, the processing method in the time domain is suitable for a certain power reflection path. If the reflection path is blocked, there is nothing you can do about it

[0016] So far, no one has proposed a problem similar to the situation where a certain powerful reflection path is blocked and the solution to related problems, and no one has done similar research in other fields

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