Envelope extraction algorithm for signal pulse amplitude sorting

A signal pulse and envelope extraction technology, applied in the field of radar signals, can solve the problems of inability to sort pulse groups, staggered signals, unknown sorting effect, and poor sorting effect.

Pending Publication Date: 2019-09-20
JILIN UNIV
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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 an

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  • Envelope extraction algorithm for signal pulse amplitude sorting
  • Envelope extraction algorithm for signal pulse amplitude sorting
  • Envelope extraction algorithm for signal pulse amplitude sorting

Examples

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example 1

[0095] Example 1: Including aliasing signal sorting experiment and analysis

[0096] The processing object in this section is the radar data set 1, and its original amplitude map is as follows Figure 5 shown. The number of original pulses in this section of the signal is 95, including 3 sets of radar sequences.

[0097] Because there are too many false pulses in the original pulse sequence, which affects the final effect of sorting, it is necessary to screen out the false pulses in the original sequence. This step mainly eliminates the environmental noise mentioned above. Table 2 is the number of pulses after pre-screening, Figure 6 This is the aliased signal amplitude plot obtained after pre-screening. The pre-screened radar pulse sequence can be approximately regarded as containing aliasing signal sequence. According to the actual data, the PRI type of radar 1 and radar 3 is dithering, and the PRI type of radar 2 is fixed.

[0098] Table 2 Pulse distribution table of...

example 2

[0105] Example 2: Signal sorting experiment and analysis of multiple aliasing methods

[0106] The processing object of this section is the radar data set 2, and its original amplitude map is as follows Figure 9 shown. The number of original pulses in this section of the signal is 174, including 4 sets of radar sequences.

[0107] The process of pre-screening is the same as Section 4.1, Table 4 shows the number of pulses after pre-screening, Figure 10 This is the aliased signal amplitude plot obtained after pre-screening. The pre-screened radar pulse sequence can be approximately regarded as containing aliasing signal sequence. According to the actual data, the PRI type of radar 1 is pulse group, the PRI type of radar 2 is jitter, and the PRI type of radar 3 and radar 4 is fixed.

[0108] Table 4. Pulse number distribution table of radar data set 2 after pre-screening

[0109]

[0110] After pre-screening, the radar data set 2 is sorted, and the final result of this ...

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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...

Claims

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Application Information

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IPC IPC(8): G06K9/00
CPCG06F2218/02G06F2218/08G06F2218/12
Inventor 徐卓君杨雯婷田彦涛胡航玮李春旭
Owner JILIN UNIV
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