A feature optimization function selection method, device and electronic equipment

Abstract

The embodiment of the invention provides a feature optimization function selection method and device and electronic equipment. The method comprises the following steps of respectively calculating a plurality of fitness degrees of the preset number of initial feature optimization functions according to the plurality of preset fitness degree functions; and adopting a multi-objective sorting algorithm, and selecting an optimal feature optimization function from the preset number of initial feature optimization functions based on a plurality of fitness degrees of each initial feature optimizationfunction. By applying the characteristic optimization function selected by the embodiment of the invention, the original characteristics can be optimized aiming at a plurality of fitness functions, the optimization effect is more comprehensive, and the characteristics of different types of modulation signals are more distinguished after being optimized by the characteristic optimization function,so that the identification rate of the modulation mode of the wireless digital signal is further improved.

Description

technical field [0001] The invention relates to the field of communication technology, in particular to a feature optimization function selection method, device and electronic equipment. Background technique [0002] With the rapid development of wireless communication standards and wireless signal types, in order to ensure the efficient use of wireless communication systems and the safe operation of wireless communication systems, it is necessary to identify the modulation mode of wireless digital signals to monitor wireless communication systems. [0003] Among them, the feature-based modulation mode identification method is to extract a series of features from the wireless digital signal, and then judge the modulation mode of the wireless digital signal according to these features. This method is widely used due to its low computational complexity and high robustness. It is applied in the technical field of wireless digital signal identification. However, in the actual w...

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Problems solved by technology

[0004] However, through the identification method of the prior art, the original characteristics of the wireless digital signal can only be optimized for a fitness function, which will result in incomplete optimization effects, and the difference between different types of modulated signals is still not large enough, resulting in the final identification rate is not high

For example, the existing technology can only optimize the original features for the fitness function of the classification accuracy function. When the signal has phase / frequency jitter or drift, the recognition rate will be reduced.

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