Anti-noise high-precision distance measurement method and device
A ranging method and technology of a ranging device, which are applied in the ranging field, can solve the problems of large ranging error and inability to solve, and achieve the effect of avoiding feature redundancy.
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no. 1 example
[0043] This embodiment provides a noise-resistant high-precision ranging method. After the method receives the electric and magnetic field strength data in the near field, the feature in the electric and magnetic field strength data is extracted through a feature extraction method, and based on the extracted feature data , using the method of machine learning to achieve high-precision distance measurement, this method can be realized by electronic equipment, the execution process of this method is as follows figure 1 shown, including the following steps:
[0044] S1, collect sample data, the sample data includes magnetic field strength data, electric field strength data and corresponding propagation distance received by the receiving point;
[0045] S2, using a preset feature extraction algorithm to perform feature extraction on the magnetic field strength data and electric field strength data in the sample data, to obtain sample feature data;
[0046] S3, using the sample fe...
no. 2 example
[0087] This embodiment provides a noise-resistant high-precision ranging device, which includes the following modules:
[0088] The sample data collection module is used to collect sample data, and the sample data includes magnetic field strength data, electric field strength data and corresponding propagation distance received by the receiving point;
[0089] The feature extraction module is used to perform feature extraction on the magnetic field strength data and electric field strength data collected by the sample data collection module by using a preset feature extraction algorithm to obtain sample feature data;
[0090] The distance estimation model training module is used to use the sample feature data extracted by the feature extraction module as an input, and use the propagation distance corresponding to the sample feature data as an output to train a preset machine learning model to obtain a model based on machine learning. The distance estimation model of
[0091] ...
no. 3 example
[0094] 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.
[0095] 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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