High-precision real-time handwritten trajectory tracking method based on passive reflected signals

Abstract

The invention discloses a high-precision real-time handwritten trajectory tracking method based on passive reflected signals, which is used for a first deployment passive reflection tracking scene including a passive backscatter tag, a signal transmitting end and two signal receiving ends and a second deployment passive reflection tracking scene including a passive backscatter tag, a signal transmitting end and three signal receiving ends; the method comprises the following steps: step a, confirming that the passive reflection tracking scene is the first deployment passive reflection trackingscene or the second deployment passive reflection tracking scene; if being the first deployment passive reflection tracking scene, performing a step b; if being the second deployment passive reflection tracking scene, performing a step c; step b, processing to track the real-time handwritten trajectory through a first tracking model; and step c, processing to track the real-time handwritten trajectory through a second tracking model. According to the tracking method, millimeter-level high-precision trajectory tracking can be realized with low cost and a simple system.

Description

technical field [0001] The invention relates to the field of wireless perception trajectory tracking, in particular to a high-precision real-time handwriting trajectory tracking method based on passive reflection signals. Background technique [0002] Video-based approaches such as Kinect and Leap Motion often require specialized equipment and are easily affected by relationship conditions and indoor layout. Electronic blackboards or other similar technologies are often very expensive and high maintenance. Although the inertial sensor-based system has low overhead and is easy to deploy, it has a large error. For example, its cumulative error within 6s may be as high as 60cm, which is obviously not available for accurate tracking and positioning. Recently, some sound-based systems have been proposed. For example, Vernier's scheme can achieve millimeter-level trajectory tracking accuracy. Unfortunately, there are many practical problems in using sound signals. For example, lo...

AI Technical Summary

Problems solved by technology

At the same time, existing WiFi-based trajectory tracking systems usually require multiple antennas, and the error is on the order of decimeters. For example, the WiDraw solution uses 25-antenna Angle-of-Arrival (AOA) technology to achieve a Tracking system, while the WiTag solution only uses 2 APs but the error may exceed 1m

Other systems based on radio frequency signals, such as using 60GHz wireless technology, encounter problems such as rapid signal attenuation, high overhead and hardware platform limitations

The solution proposed by WiTrack uses a dedicated FMCW (Frequency-Modulated Continuous-Wave) 1.79GHz bandwidth radar to track human movement behind the wall, but the error is as high as 20cm

Therefore, the current handwriting trajectory tracking scheme may require special equipment to make the system complex or have problems with large errors

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