High-frequency ground wave radar working frequency optimization method and system, storage medium and application

Abstract

The invention belongs to the technical field of radars, and discloses a high-frequency ground wave radar working frequency optimization method and system, a storage medium and application, and the method comprises the steps: obtaining frequency spectrum data, employing a two-dimensional OS algorithm and a double threshold algorithm to process the frequency spectrum data, and obtaining the frequency spectrum information of anti-impact interference processing; constructing an LSTM network and carrying out model training and prediction deviation evaluation; and selecting a quadratic curve trapezoidal window, sliding the window function on the whole frequency spectrum to extract the average power spectrum and fluctuation degree information in the window, calculating the total score of the sliding window, and further selecting the optimal working frequency according to the score. The real-time performance and the accuracy of frequency selection are enhanced through the improvement of a frequency spectrum prediction scheme in the invention; the time sequence is predicted through the LSTM model, frequency spectrum information at the current moment is trained and learned instead of simple data frequency shift, the prediction is closer to a real value, reliability is greatly enhanced, sliding window frequency selection is carried out through the quadratic curve trapezoidal window, and an interference frequency band can be effectively avoided.

Description

technical field [0001] The invention belongs to the technical field of radar, and in particular relates to a method, system, storage medium and application for optimizing the working frequency of high-frequency ground wave radar. Background technique [0002] At present: high-frequency ground wave radar is used for sea monitoring due to its low cost, easy maintenance, over-the-horizon and all-weather advantages, but its working frequency band (3-30MHz) has a complex electromagnetic environment, and there are a large number of short-wave communication services and radio interference. , Shock interference and noise will affect its working performance. Finding a "quiet frequency" suitable for its work can effectively improve radar performance, so a method that can recommend a better operating frequency for high-frequency ground wave radar is sought. Long Short-Term Memory Network LSTM (Long Short-Term Memory) is a type of feedback neural network. The recurrent neural network ...

AI Technical Summary

Problems solved by technology

[0006] (1) The existing spectrum prediction scheme ignores the complex and changeable electromagnetic environment, and cannot achieve the effect of real-time monitoring, which affects the accuracy of frequency selection

[0007] (2) The existing sliding window frequency selection scheme needs to accumulate many experiments and tests to obtain the appropriate threshold parameters, and the flexibility is low

[0008] The difficulty in solving the above problems and defects is: due to the complex and changeable electromagnetic environment, if the "quiet frequency" is selected from the currently monitored spectrum and applied to the radar, when the spectrum changes greatly, the "quiet frequency" cannot achieve better Effect

Images