Broadband near-field electromagnetic positioning method and device based on neural network
A neural network algorithm and near-field electromagnetic technology, applied in the field of positioning, can solve problems such as the inability of positioning technology to locate accurately, and achieve the effect of strong data analysis and processing capabilities and accurate positioning
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no. 1 example
[0053] At present, precise positioning has become a major demand of people, especially in non-line-of-sight environments such as underground parking lots and office buildings, the use of broadband near-field electromagnetic technology for positioning through multi-layer media is of great importance to people's lives. significance. However, in actual situations, due to various external factors, the positioning model based on theoretical derivation often fails to show good results, or even cannot be solved, while the neural network can fit any nonlinear function, and it can often be used in complex models. Show very good self-learning and self-adaptive ability. Based on this, this embodiment provides a neural network-based broadband near-field electromagnetic positioning method, which can be implemented by electronic equipment. Specifically, the execution flow of the method is as follows figure 1 shown, including the following steps:
[0054] S1, collect broadband near-field ...
no. 2 example
[0099] This embodiment provides a neural network-based broadband near-field electromagnetic positioning device, such as figure 2 As shown, the neural network-based broadband near-field electromagnetic positioning device includes the following functional modules:
[0100] The information collection module is used to collect characteristic information of broadband near-field electromagnetic signals;
[0101] A data set construction module is used to construct a data set by using the characteristic information of broadband near-field electromagnetic signals collected by the information collection module and the three-dimensional coordinate information of the positioning target;
[0102] The positioning model modeling module is used for training and modeling with a preset neural network algorithm based on the data set constructed by the data set construction module to obtain a positioning system regression model; wherein, the input of the positioning system regression model is t...
no. 3 example
[0112] This embodiment provides an electronic device, which includes a processor and a memory; at least one instruction is stored in the memory, and the instruction is loaded and executed by the processor, so as to implement the method of the first embodiment.
[0113] The electronic device may have relatively large differences due to different configurations or performances, and may include one or more processors (central processing units, CPU) and one or more memories, wherein at least one instruction is stored in the memory, so The above instruction is loaded by the processor and executes the above method.
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