Generative Algorithm for Indoor Human Detection and Visualization Based on the Analysis of Radio Frequency Channel Matrices
摘要
Physical objects located inside the radio transmission environment affect electromagnetic waves. This means that there is a correlation between them. The work is aimed at studying the influence of a person on the passage of electromagnetic waves in a wireless information transmission environment in order to determine his location. The analyzed parameters are a channel matrix, which includes information on how the signal propagates from the transmitter to the receiver via 9 pairs of antennas and 56 suborthogonal subcarriers. The article proposes an algorithm that interprets information from the channel matrix into a video frame containing the silhouette of the subject. Video frames created by the proposed algorithm provide auxiliary information for a conventional surveillance system in critical situations. In particular, control over the observed territory is carried out without violating confidentiality.