Method of Establishing Eigenvalue Probabilistic Statistical Model and Antenna Self-inspection Based on Echo Spectrum

Abstract

The invention discloses a method for characteristic value probability statistics model establishment based on echo spectra. The method for characteristic value probability statistics model establishment based on the echo spectra comprises the following steps that a distance spectrum, a Doppler spectrum and a noise spectrum in an echo signal received by a high-frequency ground-wave radar device are acquired, characteristic values are extracted according to the PCA algorithm, and a characteristic value probability statistics model is established. The invention further discloses a method for antenna self-check based on the characteristic value probability statistics model. The method for antenna self-check based on the characteristic value probability statistics model comprises the following steps that the threshold value of an antenna is set; the echo spectra are acquired, and the characteristic values are extracted; the probability of each characteristic value is calculated; the product of the probability values is obtained; the product of the probabilities is compared with the threshold value, so that whether the antenna is normal or not is judged. According to the methods, the self-checking function of the antenna is achieved according to the working experience summary obtained during actual operation of the high-frequency ground-wave radar device by combining the computer technology and the prgrammable technology by means of the received echo characteristics, labor cost is reduced, data continuity is improved, and the stability and reliability of system operation are guaranteed.

Description

technical field [0001] This application relates to the field of marine science and technology, in particular to the method of establishing a probability statistical model of eigenvalues ​​and antenna self-inspection based on the echo spectrum. Background technique [0002] The high-frequency ground wave radar emits electromagnetic waves to the sea surface, and by receiving the echo reflected from the sea surface, it uses algorithms such as Fourier transform, multiple signal classification method and principal component analysis method to process the dynamic environment of the sea surface (shallow surface flow field, low-altitude wind and so on). field and wave field) and the detection of sea target environment information; high-frequency ground wave radar mainly works in the short-wave frequency band (3MHz-30MHz), and uses the diffraction characteristics of short-wave to obtain target information below sea level and realize beyond-the-horizon Detection; in recent years, with...

AI Technical Summary

Problems solved by technology

The entire high-frequency ground wave radar system has completed system testing and verification before erection to ensure the correctness of the system. The long-term influence of sea breeze, sea salt, and temperature difference will affect the structure of the receiving antenna and the smooth connection of the circuit board. In severe cases, it may lead to poor contact of the receiving antenna circuit or failure to receive signals. Therefore, it is necessary to regularly check the working status of the antenna to ensure that the antenna Operating normally

High-frequency ground wave radar antenna detection adopts the method of regular inspection and the method of regular observation by the on-duty personnel. On the one hand, these two detection methods consume a lot of labor costs, resulting in low work efficiency; It works normally, resulting in discontinuous data, which has a serious impact on the reliability of the entire system operation. Therefore, there is an urgent need for a technology that can realize automatic detection of antennas and provide alarm information in time.

At present, there are no domestic and foreign reports on the self-inspection technology of high-frequency ground wave radar antennas

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