K clustering intelligent selection microwave signal multipath interference suppression method

Abstract

The invention discloses a K clustering intelligent selection microwave signal multipath interference suppression method, and relates to an interference suppression method. The method comprises the following steps: 1) establishing and training a multipath interference suppression model; 2) setting test conditions of the antenna in the anechoic chamber; 3) adding reflection plate interference sources of different materials or shapes to establish an interference model; 4) dividing the difficulty condition of the interference degree; and 5) correspondingly and respectively selecting proper algorithms according to interference degree classification to complete K-clustering intelligently-selected microwave signal multipath interference suppression. When the multipath interference mode is simple,a polynomial regression algorithm is used, a gradient descent method is used to train the model until the error converges, the current optimal multipath interference suppression model is stored, theoperation is simple, and the precision is improved. And when the multipath interference mode is medium, multipath interference suppression under the condition of three interference paths is realized by adopting a random forest. When the multipath interference mode is difficult, the neural network is adopted to realize multipath interference suppression under the condition of five interference paths, and finally, the optimization efficiency of the antenna is improved.

Description

technical field [0001] The invention relates to an interference suppression method, in particular to a microwave signal multipath interference suppression method based on machine learning and neural network K-clustering intelligent selection that can select appropriate algorithms according to the classification of the interference degree. Background technique [0002] Global informatization has followed the Global Positioning System into the public's field of vision. From the exploration of the universe to the mobile phone in everyone's hand, they are all closely related to information transmission. The popularity of information transmission makes the efficiency and performance of information transmission get the attention of academic circles. The antenna, as the key hardware for information transmission, plays the role of signal transmission and reception, and its performance requirements are becoming more and more stringent. [0003] In order to ensure the performance of ...

AI Technical Summary

Problems solved by technology

Although the field analysis method of the traditional antenna can accurately calculate the performance of the antenna, the amount of calculation is huge, it takes up a lot of memory, and it is often concentrated in a special antenna software, and it is difficult to add an optimization program

Using artificial intelligence and other methods in the antenna optimization program, although its characteristics can be used to significantly improve the efficiency and accuracy of antenna optimization, the algorithm is relatively single and cannot meet the needs for diverse algorithms

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