Study of UWB Precise Positioning Problem under Signal Interference Conditions Based on Nonlinear Optimization Model

Abstract

Taking the 2021 Huawei Cup E question as an example, for the analysis of the data collected in the experimental scenario 1 with or without signal interference, firstly, the corresponding values of each data file were captured using python tools and transformed into Excel data format, followed by data pre-processing according to different time stamps, inconsistent range values and calibration values, and repeated screening conditions for sequence numbers and numbers, and then using the Then the normal distribution 3σ principle was used to screen out the samples with abnormal range from the target point to the anchor point, and it was found that the range value given in the title deviated greatly from the actual point's range value in the process. Then, using the processed data, when the real coordinates of the target point are known, the particle swarm algorithm is used to solve the search for the global optimal distance from the target point to the four anchor points, and then the optimal distance is used to establish a nonlinear optimization model for four-point positioning in three-dimensional space, and the particle swarm algorithm is continued to be used to solve for the exact coordinates and error value range of the 324 Tag under no interference and with interference, and the error range can be used to predict The exact position of the control target point. Finally, the algorithm model is applied to calculate the coordinates of 10 sets of data, and then the two error values are corrected to get 10 sets of accurate values.