title: ÐÐ»Ð°ÑÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ñ Ð¾Ð±ÑÐµÐºÑÐ¾Ð² Ð½Ð° Ð¾ÑÐ½Ð¾Ð²Ðµ Ð¸Ð½ÑÐ¾ÑÐ¼Ð°ÑÐ¸Ð¸ Ð¾ ÑÐ¾ÑÑÐ¾ÑÐ½Ð¸Ð¸ ÐºÐ°Ð½Ð°Ð»Ð¾Ð² ÑÐ¸ÑÑÐµÐ¼Ñ WiFi
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð±Ð°ÐºÐ°Ð»Ð°Ð²ÑÐ°
titleType: Subtitle
title: Classification of objects based on the Channel State Information of WiFi system channels
Creators: name: ÐÐ¾Ð¿Ð°ÑÐ¸Ð½, ÐÐ°ÐºÑÐ¸Ð¼
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2022
Subjects: ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ñ Ð¾Ð±ÑÐµÐºÑÐ¾Ð²
Ð¸Ð½ÑÐ¾ÑÐ¼Ð°ÑÐ¸Ñ Ð¾ ÑÐ¾ÑÑÐ¾ÑÐ½Ð¸Ð¸ ÐºÐ°Ð½Ð°Ð»Ð°
object classification
channel state information

description: ÐÐ±ÑÐµÐºÑ Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ñ â ÑÐ¾ÑÐ½Ð¾ÑÑÑ ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¸ Ð¿ÑÐ¸ Ð¿Ð¾Ð¼Ð¾ÑÐ¸ Ð¸Ð½ÑÐ¾ÑÐ¼Ð°ÑÐ¸Ð¸ Ð¾ ÑÐ¾ÑÑÐ¾ÑÐ½Ð¸Ð¸ ÐºÐ°Ð½Ð°Ð»Ð° (CSI, Channel State Information). Ð¦ÐµÐ»Ñ ÑÐ°Ð±Ð¾ÑÑ â ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐºÐ° Ð¼ÐµÑÐ¾Ð´Ð¸ÐºÐ¸ Ð¿ÑÐ¾Ð²ÐµÐ´ÐµÐ½Ð¸Ñ Ð¿Ð¾Ð»Ð½Ð¾Ð³Ð¾ ÑÐ¸ÐºÐ»Ð° (Ð¾Ñ ÑÐ½ÑÑÐ¸Ñ Ð´Ð°Ð½Ð½ÑÑ Ð´Ð¾ ÑÐ°ÑÑÐµÑÐ° ÑÐµÐ·ÑÐ»ÑÑÐ°ÑÐ¾Ð²) ÑÐºÑÐ¿ÐµÑÐ¸Ð¼ÐµÐ½ÑÐ° Ð¿Ð¾ ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¸ Ð¿ÑÐ¸ Ð¿Ð¾Ð¼Ð¾ÑÐ¸ ÑÐ°Ð·Ð»Ð¸ÑÐ½ÑÑ Ð¼ÐµÑÐ¾Ð´Ð¾Ð² Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ð³Ð¾ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ Ñ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½Ð¸ÐµÐ¼ CSI.Ð¡Ð¸Ð³Ð½Ð°Ð» WiFi Ð¼Ð¾Ð¶Ð½Ð¾ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°ÑÑ Ð´Ð»Ñ Ð¿Ð¾Ð»ÑÑÐµÐ½Ð¸Ñ Ð¸Ð½ÑÐ¾ÑÐ¼Ð°ÑÐ¸Ð¸ Ð¾Ð± Ð¾ÐºÑÑÐ¶Ð°ÑÑÐµÐ¹ Ð¾Ð±ÑÑÐ°Ð½Ð¾Ð²ÐºÐµ. ÐÐ·-Ð·Ð° Ð¼Ð½Ð¾Ð³Ð¾Ð»ÑÑÐµÐ²Ð¾Ð³Ð¾ ÑÐ°ÑÐ¿ÑÐ¾ÑÑÑÐ°Ð½ÐµÐ½Ð¸Ñ ÑÐ°Ð´Ð¸Ð¾ÑÐ¸Ð³Ð½Ð°Ð»Ð°, Ð° ÑÐ°ÐºÐ¶Ðµ ÑÐ¾Ð¿ÑÑÑÑÐ²ÑÑÑÐ¸Ñ ÑÐ²Ð»ÐµÐ½Ð¸Ð¹ Ð´Ð¸ÑÑÐ°ÐºÑÐ¸Ð¸ Ð¸ Ð¸Ð½ÑÐµÑÑÐµÑÐµÐ½ÑÐ¸Ð¸ Ð½Ð° Ð²ÑÐ¾Ð´Ðµ Ð¿ÑÐ¸ÐµÐ¼Ð½Ð¸ÐºÐ° ÑÐ¾ÑÐ¼Ð¸ÑÑÐµÑÑÑ ÑÐ¸Ð³Ð½Ð°Ð», ÑÐ°ÑÐ°ÐºÑÐµÑÐ¸ÑÑÐ¸ÐºÐ¸ ÐºÐ¾ÑÐ¾ÑÐ¾Ð³Ð¾ Ð·Ð°Ð²Ð¸ÑÑÑ Ð¾Ñ Ð¾ÐºÑÑÐ¶Ð°ÑÑÐµÐ¹ Ð¾Ð±ÑÑÐ°Ð½Ð¾Ð²ÐºÐ¸. Ð Ð´Ð°Ð½Ð½Ð¾Ð¹ ÑÐ°Ð±Ð¾ÑÐµ Ð´Ð»Ñ ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¸ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·ÑÐµÑÑÑ Ð¸Ð½ÑÐ¾ÑÐ¼Ð°ÑÐ¸Ñ Ð¾ ÑÐ¾ÑÑÐ¾ÑÐ½Ð¸Ð¸ ÐºÐ°Ð½Ð°Ð»Ð°, ÐºÐ¾ÑÐ¾ÑÐ°Ñ Ð²ÑÑÐ¸ÑÐ»ÑÐµÑÑÑ Ð½Ð° Ð¿ÑÐ¸ÐµÐ¼Ð½Ð¸ÐºÐµ Ð´Ð»Ñ ÐºÐ°Ð¶Ð´Ð¾Ð¹ Ð¿Ð¾Ð´Ð½ÐµÑÑÑÐµÐ¹ ÑÐ¸Ð³Ð½Ð°Ð»Ð° WiFi Ð¿ÑÐ¸ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½Ð¸Ð¸ ÑÑÐµÐ¼Ñ Ð¼Ð¾Ð´ÑÐ»ÑÑÐ¸Ð¸ OFDM (Orthogonal Frequency-Division Multiplexing). ÐÐ»Ð°ÑÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ñ Ñ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½Ð¸ÐµÐ¼ Ð¾Ð±ÑÐµÐ´Ð¾ÑÑÑÐ¿Ð½Ð¾Ð³Ð¾ Ð¾Ð±Ð¾ÑÑÐ´Ð¾Ð²Ð°Ð½Ð¸Ñ WiFi Ð¼Ð¾Ð¶ÐµÑ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°ÑÑÑÑ Ð² ÑÐ¸ÑÑÐµÐ¼Ð°Ñ Ð±ÐµÐ·Ð¾Ð¿Ð°ÑÐ½Ð¾ÑÑÐ¸ Ð¸ ÑÐ¼Ð½Ð¾Ð³Ð¾ Ð´Ð¾Ð¼Ð° Ð² ÐºÐ°ÑÐµÑÑÐ²Ðµ Ð´Ð¾Ð¿Ð¾Ð»Ð½Ð¸ÑÐµÐ»ÑÐ½Ð¾Ð³Ð¾ ÑÑÐµÐ´ÑÑÐ²Ð° Ð¼Ð¾Ð½Ð¸ÑÐ¾ÑÐ¸Ð½Ð³Ð° Ð¸ ÐºÐ¾Ð½ÑÑÐ¾Ð»Ñ. CSI Ð¿ÑÐµÐ´ÑÑÐ°Ð²Ð»ÑÐµÑ ÑÐ¾Ð±Ð¾Ð¹ Ð¼Ð°ÑÑÐ¸ÑÑ ÐºÐ¾Ð¼Ð¿Ð»ÐµÐºÑÐ½ÑÑ ÑÐ¸ÑÐµÐ», ÐºÐ°Ð¶Ð´Ð¾Ðµ Ð¸Ð· ÐºÐ¾ÑÐ¾ÑÑÑ Ð¾Ð¿Ð¸ÑÑÐ²Ð°ÐµÑ Ð°Ð¼Ð¿Ð»Ð¸ÑÑÐ´Ñ Ð¸ ÑÐ°Ð·Ñ Ð¿Ð¾Ð´Ð½ÐµÑÑÑÐµÐ¹ ÑÐ¸Ð³Ð½Ð°Ð»Ð° Ð² Ð¼Ð¾Ð¼ÐµÐ½Ñ Ð¿ÑÐ¸ÐµÐ¼Ð°. Ð¦ÐµÐ»Ñ Ð´Ð°Ð½Ð½Ð¾Ð¹ ÑÐ°Ð±Ð¾ÑÑ Ð·Ð°ÐºÐ»ÑÑÐ°ÐµÑÑÑ Ð² Ð¿ÑÐ¾Ð²ÐµÐ´ÐµÐ½Ð¸Ð¸ Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ñ Ð² Ð½Ð°Ð¿ÑÐ°Ð²Ð»ÐµÐ½Ð¸Ð¸ ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¸ Ð¿ÑÐ¸ Ð¿Ð¾Ð¼Ð¾ÑÐ¸ ÑÐ°Ð·Ð»Ð¸ÑÐ½ÑÑ Ð¼ÐµÑÐ¾Ð´Ð¾Ð² Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ð³Ð¾ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ Ñ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½Ð¸ÐµÐ¼ ÐºÐ°Ðº ÑÐ°Ð·Ð¾Ð²Ð¾Ð¹, ÑÐ°Ðº Ð¸ Ð°Ð¼Ð¿Ð»Ð¸ÑÑÐ´Ð½Ð¾Ð¹ ÑÐ¾ÑÑÐ°Ð²Ð»ÑÑÑÐµÐ¹ CSI. Ð Ð¿ÑÐ¾ÑÐµÑÑÐµ Ð½Ð°ÑÑÐ½Ð¾-Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°ÑÐµÐ»ÑÑÐºÐ¾Ð¹ Ð´ÐµÑÑÐµÐ»ÑÐ½Ð¾ÑÑÐ¸ Ð±ÑÐ» Ð¿ÑÐ¾Ð²ÐµÐ´ÐµÐ½ Ð°Ð½Ð°Ð»Ð¸Ð· ÑÐµÐºÑÑÐµÐ³Ð¾ ÑÐ¾ÑÑÐ¾ÑÐ½Ð¸Ñ Ð¿Ð¾ ÑÐµÐ¼Ðµ ÑÐ°Ð±Ð¾ÑÑ, Ð¸Ð·ÑÑÐµÐ½Ñ ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ðµ Ð¾ÑÐ½Ð¾Ð²Ñ Ð¿ÐµÑÐµÐ´Ð°ÑÐ¸ CSI Ð² ÑÐ¾Ð¾ÑÐ²ÐµÑÑÑÐ²Ð¸Ð¸ ÑÐ¾ ÑÑÐ°Ð½Ð´Ð°ÑÑÐ¾Ð¼ WiFi 802.11n, Ð° ÑÐ°ÐºÐ¶Ðµ Ð¿ÑÐ¾Ð²ÐµÐ´ÐµÐ½Ð° ÑÐµÑÐ¸Ñ ÑÐ°Ð·Ð»Ð¸ÑÐ½ÑÑ ÑÐºÑÐ¿ÐµÑÐ¸Ð¼ÐµÐ½ÑÐ¾Ð² Ð¿Ð¾ ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¸. Ð ÑÐµÐ·ÑÐ»ÑÑÐ°ÑÐµ Ð±ÑÐ» ÑÐ´ÐµÐ»Ð°Ð½ Ð²ÑÐ²Ð¾Ð´ Ð¾ Ð¿ÑÐ¸Ð¼ÐµÐ½Ð¸Ð¼Ð¾ÑÑÐ¸ ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¾ÑÐ° Ð² ÑÐµÐ°Ð»ÑÐ½ÑÑ ÑÑÐ»Ð¾Ð²Ð¸ÑÑ, Ð° ÑÐ°ÐºÐ¶Ðµ Ð¿Ð¾ÑÑÑÐ¾ÐµÐ½Ð° Ð¼Ð¾Ð´ÐµÐ»Ñ ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¾ÑÐ° Ð² ÑÐµÐ°Ð»ÑÐ½Ð¾Ð¼ Ð²ÑÐµÐ¼ÐµÐ½Ð¸.
description: The object of research is Channel State Information (CSI).The purpose of the work is to develop a methodology for conducting a full cycle (from taking data to calculating results) of a classification experiment using various machine learning methods using CSI. The WiFi signal can be used to obtain information about the surrounding environment. Due to the multipath propagation of the radio signal, as well as the accompanying phenomena of diffraction and interference, a signal is formed at the receiver input, the characteristics of which depend on the environment. They are unique to each physical environment. In this paper, Channel State Information (CSI) is used for classification, which is calculated on the receiver for each subcarrier OFDM WiFi signal. Classification using usual WiFi equipment can be used in security and smart home systems as an additional means of monitoring and control.CSI is a matrix of complex numbers, each of which describes the amplitude and phase of the subcarrier of the signal at the time of reception. The purpose of this work is to conduct research in the direction of classification using various machine learning methods using both the phase and amplitude components of CSI. During scientific research, a literature review was conducted, the technical foundations of CSI transmission in accordance with the WiFi 802.11n standard were studied, and a series of different classification experiments were conducted. As a result, a conclusion was made about the applicability of the classifier in real conditions, and a real-time model of the classifier was built.