Radar signal sorting method and system in high pulse density environment

Abstract

The invention belongs to the technical field of radar signal sorting in electronic countermeasure, and discloses a radar signal sorting method and system in a high pulse density environment, and the method comprises the steps: dividing received radar pulse description words according to a pulse arrival angle to acquire a plurality of groups of pulse sequences from different directions; inputting the pulse frequency domain parameter and the pulse width of each group of pulse sequence into a cascade structure self-organizing mapping neural network to obtain a primary sorting result; using an improved sequence difference histogram algorithm for the primary sorting result to acquire a main sorting result; and traversing the combination condition of the main sorting result, inputting the pulsefrequency domain parameter, the pulse width and the pulse arrival time into a long-short-term memory network to carry out repetition frequency identification, and combining to obtain the repetition frequency group-change radar. According to the invention, common radar signals (repetition frequency fixing, repetition frequency staggering, repetition frequency jittering, repetition frequency slidingchange and repetition frequency group change) in a high pulse density environment can be effectively realized; and real-time sorting of radar signals in an actual electromagnetic environment can be realized.

Description

technical field [0001] The invention belongs to the technical field of radar signal sorting in electronic countermeasures, and in particular relates to a radar signal sorting method, system and application in a high pulse density environment. Background technique [0002] At present, radar signal sorting is usually the evaluation and acquisition of the number of radar radiation sources existing in the current electromagnetic environment. With the continuous improvement of radar technology requirements and the continuous innovation and development of various processing methods and technologies for modern signals, many new system radars have been continuously developed and applied to practice. In particular, the application of new radars such as pulse compression radar and agile radar makes the specific position information of the radar cannot be effectively detected, especially in an increasingly complex electromagnetic environment. In order to effectively improve the sortin...

AI Technical Summary

Problems solved by technology

[0005] In a pulse-intensive environment, real-time sorting of radar signals is realized and the repetition-frequency variable radar cannot be "batched" into multiple repetition-frequency fixed radars, resulting in the problem of "increasing batches"

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