Clustering and Sorting Method of Radiation Source Signals Based on Judgment of Radar Pulse Aliasing Degree

Abstract

The invention discloses a radiation source signal clustering and sorting method based on radar pulse aliasing degree determination. First, a data acquisition platform is built, and different types of radar signals are selected to form data to be sorted, and PDW pulses of the data to be sorted are collected. Describe the different pulse signal data in the word; then formulate the radar signal pulse aliasing degree judgment rule to judge the aliasing degree of the pulse signal data, and select the pulse signal data whose aliasing degree is lower than the set threshold as the data to be clustered; finally The density clustering algorithm based on RF-PW is used to cluster and sort the data to be clustered, and complete the clustering and sorting of the data to be sorted. The present invention proposes to judge the aliasing state of signals in various aliasing states, select the low-aliasing state or non-aliasing pulse signal for big data clustering and sorting, and then perform big data clustering on the rest Class sorting can increase the success rate of sorting recognition and reduce the time consumption of sorting.

Description

technical field [0001] The invention belongs to the technical field of radiation source sorting, and in particular relates to the design of a radiation source signal clustering and sorting method based on radar pulse aliasing degree determination. Background technique [0002] With the increasingly fierce electronic countermeasures and the increasingly complex signal environment, it has become an inevitable trend to quickly and accurately sort radar signals, especially unknown radar signals. As we all know, modern warfare is highly information-based. In modern battlefields where land, sea, air, space, and electricity are integrated, electronic warfare and other technical means are used to collect, utilize, and control war information, and then have the dominance of war information. become the key to the success or failure of the war. This means that in modern electronic warfare, electronic countermeasure technology, while serving as an advanced information weapon, can inhib...

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to solve the problem that the signal environment is becoming more and more complex, and the radar signal pulse has a sequence, so that the radar signal pulse has multiple aliasing modes, and the aliasing of the radar radiation source pulse will seriously affect the sorting success of the clustering algorithm. In order to improve the success rate of radiation source signal clustering and sorting

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