Research on sensing node location technology based on AOA and fingerprint recognition

Abstract

In order to meet the needs of intelligent operation and maintenance of distribution networks, a large number of wireless sensors are deployed inside and outside the power grid for digital sensing and immediate control of the grid. However, once these wireless sensors fail, they will generate erroneous data, which affects the assessment of grid security and brings great hindrance to the automation of power system operation and maintenance. Therefore, we propose an AOA and fingerprint recognition-based sensing node location method to achieve accurate positioning of wireless sensing nodes to facilitate rapid troubleshooting. The method first enhances and denoises the signal characteristics of wireless sensing nodes to achieve pre-processing of wireless sensing fingerprint information and solve the problem of fingerprint feature recognition of data samples. After that we combine the node fingerprint information through deep learning models to achieve device type recognition of wireless sensing nodes. Finally, we design the AOA node localisation method, which uses the AOA coordinate system measurement model to perform distance measurement and coordinate conversion on the fingerprint features of wireless sensing nodes to achieve accurate and fast localisation of wireless sensing devices. The experiments prove that the method has a high accuracy rate in the identification and location of wireless sensing node devices, which can effectively improve the efficiency of grid automation operation and accurate troubleshooting.

A review of UWB positioning technology applications in personnel security management

“…Make two hyperbolas with BS1, BS2 and BS1, BS3 as the focal points, and their intersection point(M) is the label positions, d1, d2, d3 are the distance from the tag to each base station. )AOA(Angle of Arrival) method [8] is a typical signal arrival positioning algorithm based on angles and distance. The relative distance and angles between the positioning stations are calculated by getting the arrival direction of the signal from the transmitting stations through some hardware devices, and then the location of tag to be positioned is calculated by using triangulation or other means.…”

“…Figure 3 Schematic diagram of TDOA method4)AOA(Angle of Arrival) method[8] is a typical signal arrival positioning algorithm based on angles and distance. The relative distance and angles between the positioning stations are calculated by getting the arrival direction of the signal from the transmitting stations through some hardware devices, and then the location of tag to be positioned is calculated…”