Variational Bayesian compressed sensing passive positioning method based on multipath effect

• Main Authors: ZHANG XIAOBO, LI HUAJING, GUO YAN, CUI XIAONAN, LI NING, YU XINGYUE, CHEN CHENG, SHENG JINFENG
• Format: Patent
• Language: Chinese; English
• Published: 03.01.2023
• Subjects: ANALOGOUS ARRANGEMENTS USING OTHER WAVES; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION ORRERADIATION OF RADIO WAVES; MEASURING; PHYSICS; RADIO DIRECTION-FINDING; RADIO NAVIGATION; TESTING

The invention discloses a variational Bayesian compressed sensing passive positioning method based on a multipath effect. Intelligent reflecting surfaces are arranged around a positioning area; determining a sensor node and a virtual sensor, and collecting received signal strength information of a wireless link; carrying out gridding processing on the set positioning area; establishing a passive dictionary based on an improved elliptic model; estimating a target position by using a compressed sensing sparse recovery algorithm based on variational Bayesian reasoning, and updating related parameters; cutting the grids; and when the measurement residual error is smaller than a set threshold value or reaches the maximum number of iterations, ending, and taking a final iteration result as a target positioning result. According to the method, the receiving signal strength of the virtual node model is utilized, the sensor nodes are conceptually increased under the condition that hardware resources are not additional