Multifunctional radar radiation source intelligent identification method

Abstract

The invention discloses a multifunctional radar radiation source intelligent identification method, which comprises the steps: S1, obtaining a target radar pulse signal sequence with N working modes through a reconnaissance system, and obtaining a radar word sequence after pulse sorting, preprocessing and radar word matching, dividing a certain number of radar words into a group to serve as a working state of the multifunctional radar, and symbolizing the radar state to obtain a state sequence of the multifunctional radar in the reconnaissance time; S2, extracting a behavior pattern of the multifunctional radar radiation source; S3, performing state prediction on the multifunctional radar at the next moment based on the extracted behavior pattern, and realizing expansion of a state sequence through multi-step prediction to obtain a state expansion sequence; and S4, inputting the state expansion sequence as sample data into the deep neural network for training to realize the recognition of the multifunctional radar radiation source. According to the invention, the detection time is greatly shortened under the same recognition rate.

Description

technical field [0001] The invention belongs to the field of radar reconnaissance, and in particular relates to an intelligent identification method for a multifunctional radar radiation source, which can be applied to electronic reconnaissance and electronic countermeasure systems. Background technique [0002] Today, the rapid development of modern information technology marks the full development of electronic warfare, which has become the main battlefield of modern high-tech warfare. As one of the important links of electronic reconnaissance, radar radiation source identification focuses on extracting the characteristic laws contained in the signal as the basis for identifying individual radiation sources, and then harvesting specific information of the target radiation source for threat assessment and tactical formulation. With the development of electronic technology and continuous innovation of weapons and equipment, the requirements for radiation source identificatio...

AI Technical Summary

Problems solved by technology

Most of the existing individual identification of radiation sources is based on the fingerprint feature extraction of radar radiation sources. This identification method is mostly aimed at specific radar radiation sources, and its universality needs to be further explored, and the extraction of fingerprint features is very limited by environmental conditions, complex electromagnetic Environmental and noise interference will affect the accuracy of feature extraction

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