Communication signal modulation mode identification method

A modulation method identification and communication signal technology, applied in the field of communication, can solve the problems of low signal identification rate and limited types of signal identification, and achieve the effect of obvious signal characteristics, overcoming the limited identification types and simplifying steps.

Inactive Publication Date: 2019-11-05
JILIN UNIV
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  • Claims
  • Application Information

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Problems solved by technology

[0004] The technical problem to be solved by the present invention is the problem of low signal recognition rate and limited signal recognition types under low signal-to-noise ratio, and a communication signal modulation method recognition method is provided

Method used

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  • Communication signal modulation mode identification method
  • Communication signal modulation mode identification method
  • Communication signal modulation mode identification method

Examples

Experimental program
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Effect test

Embodiment

[0119] 1. The known signal composition set is composed of three communication signals of 2ASK, 2FSK and 2PSK with known modulation modes.

[0120] 1) First, simulate the three communication signals of 2ASK, 2FSK and 2PSK, and then process the three signals in segments. Each signal is divided into 800 segments, each segment is 1024 sampling points long, and is divided into 2400 segments in total;

[0121] 2) Time-frequency transformation of Choi-Williams distribution with fractional pitch is performed on 2400 segments of signals to generate 2400 three-dimensional time-frequency images.

[0122] 3) In order to simplify the data, the three-dimensional time-frequency map generated after the time-frequency transformation of the signal is subjected to grayscale transformation to generate a two-dimensional time-frequency map. First read the three-dimensional time-frequency map, and then use the grayscale transformation function that comes with matlab to transform the three-dimensiona...

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Abstract

The invention discloses a communication signal modulation mode identification method, which overcomes the problems of low identification rate and limited identification types under a low signal-to-noise ratio, and comprises the following steps of: 1) forming a set of known signals: (1) segmenting the known signals; (2) performing time-frequency conversion on the N sections of signal data; (3) performing gray scale transformation on the N three-dimensional time-frequency graphs; (4) marking the N two-dimensional time-frequency graphs; 2) training a convolutional neural network: (1) setting theconvolutional neural network; (2) training the set convolutional neural network; (3) adjusting parameters of the convolutional neural network; (4) generating a trained neural network; 3) forming a setby the received unknown signals; and 4) identifying a signal modulation mode, wherein the convolutional neural network is formed by training according to the set formed by the known signals, and theset formed by the unknown signals is input into the convolutional neural network for recognition of the modulation mode to obtain the modulation mode of the signals.

Description

technical field [0001] The invention relates to a signal processing method in the field of communication, more precisely, the invention relates to a communication signal modulation method identification method. Background technique [0002] With the rapid development of high technology, signal processing is an important task both in military and civilian applications. The identification of the modulation mode of the communication signal is an intermediate step between signal detection and demodulation, the purpose is to identify the modulation mode of the received signal with little prior knowledge, and provide information for signal demodulation and further processing . [0003] At present, the existing recognition methods can basically be classified into two categories: modulation recognition methods based on likelihood ratio detection and pattern recognition methods based on feature extraction. However, these methods all have some defects when identifying the modulation...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L27/00H04L27/32H04L27/34G06N3/02
CPCG06N3/02H04L27/0012H04L27/32H04L27/3483
Inventor 孙晓东田晓迪王莹魏久晰苗顺程陈薪宇
Owner JILIN UNIV
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