Envelope extraction algorithm for signal pulse amplitude sorting

Abstract

The invention discloses an envelope extraction algorithm for signal pulse amplitude sorting. The method comprises the following specific steps of: pre-screening false pulses of a signal; modeling a Pulse Amplitude (PA) to obtain the variation characteristic of the PA; calculating an amplitude difference, and dividing PA aliasing conditions into two types according to the amplitude difference: containing aliasing and staggered aliasing; extracting the envelope of PA by using a segmented Hermite interpolation method during containing aliasing, and sorting; and during staggered aliasing, extracting the envelope of the PA by utilizing an amplitude difference algorithm and sorting to respectively obtain pure signal sequences. The envelope extraction algorithm can effectively process the aliasing radar radiation source signals under the conditions of false and missing pulses, is high in de-interlacing accuracy, and provides a more convenient and faster new method for the sorting work of the radar radiation source signals.

Description

[0001] Technical field: [0002] The invention relates to the field of radar signals, in particular to PA envelope extraction and sorting of aliasing pulse signals. [0003] Background technique: [0004] With the advent of the information age, in the modern battlefield integrating land, sea, air, space, and electricity, the use of electronic warfare and other technical means to realize the collection, utilization, and control of war information, and then to have the dominance of war information has become a war The key to success or failure. Electronic Counter Measures (ECM for short in this article) technology, while serving as an advanced information weapon, can inhibit the enemy's information weapon in war. Therefore, ECM is a key research direction in the military of various countries. Among them, radar emitter signal sorting and processing is a key technology in modern ECM. The detection environment of today's radar emitter signals is an electromagnetic signal environme...

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Problems solved by technology

Guoqiang proposed the wave treading algorithm using PA as the main parameter for sorting, and proposed a new idea for the sorting method of radar emitters, but this algorithm cannot handle and sort multiple sets of radar emitter signal sources with complex aliasing; Zhang Ran et al. proposed a K-Means clustering radar emitter signal sorting algorithm based on data field and gray correlation analysis, which automatically obtains the initial cluster center and determines the number of clusters without prior information, but the aliasing in a single parameter When the rate exceeds 30%, the sorting effect is not good; Liu Y and others proposed an improved SDIF algorithm that integrates clustering algorithm and PRI transformation method. In this case, it has high reliability and accuracy, but it cannot sort pulse groups and erratic signals; Mou Hao et al. based on the integration of PDW features and Support Vector Machine (SVM) algorithm, firstly based on PRI and RF pre-screening, and then use SVM to train PDW features. This algorithm has a good sorting effect on the same type of radar signals, but the experimental part of the algorithm only sorts two radars, and the sorting effect is unknown for the case of multiple radars.

[0006] Aiming at the problem that the accuracy of the sorting algorithm based on the pulse amplitude as the main sorting parameter in the current situation where multiple radar emitter signals are aliased, an amplitude envelope extraction algorithm is proposed in this paper, which can effectively screen out False pulse signals, while suppressing missing pulses, improving the accuracy of radar emitter signal sorting

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