A method of signal recognition

A signal recognition and signal technology, applied in the field of signal recognition, can solve problems such as low signal recognition rate

Inactive Publication Date: 2015-08-05
TIANJIN UNIVERSITY OF TECHNOLOGY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0044] The purpose of the present invention is to overcome the disadvantages of low signal recognition rate under the condition of low signal-to-noise ratio existing in the existing signal recognition method

Method used

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  • A method of signal recognition
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Embodiment Construction

[0076] The following will refer to Figure 1-7 Specific embodiments of the present invention will be described.

[0077] like figure 1 As shown, the method for signal recognition in the embodiment of the present invention includes the following steps:

[0078] Step 1. Set the type of the signal to be identified, and use the morphological model of the power spectrum of each type of signal to construct a template corresponding to each type of signal;

[0079] Wherein, the method for determining the template corresponding to each type of signal described in step 1 specifically includes:

[0080] a, set a signal type, and calculate the signal power spectrum when the signal-to-noise ratio is 0dB;

[0081] It should be noted:

[0082] Calculate the signal power spectrum, in order to make the difference between the final templates is large; the signal-to-noise ratio is 0dB, and the noise is Gaussian white noise, in order to make the final templates suitable for low signal-to-nois...

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Abstract

The invention discloses a method for identifying signals. The method comprises the following steps: setting types of the signals to be identified, and constructing a template corresponding to each type of signals according to a morphological model of a power spectrum of each type of signals; extracting the power spectrum of the received signals, and calculating the morphological envelope of the power spectrum of the received signals, wherein the morphological envelope of the power spectrum is called envelope for short; respectively calculating the similarity between the envelope of the received signals and each template; and comparing each similarity, and identifying the received signals. By using the method, the problem of low signal identification rate under the condition of low signal-to-noise ratio in the prior art is solved.

Description

technical field [0001] The invention relates to signal processing technology, in particular to a method for signal identification. Background technique [0002] As the types of signals become more complex and diverse, and the signal environment becomes denser, the identification of signal types is particularly important and urgent. Whether in civil or military use, signal recognition technology is a key technology, so signal recognition methods have become a research hotspot. [0003] According to the modulation type classification, currently commonly used signals include: single frequency pulse signal (CW), binary amplitude keying signal (2ASK), linear frequency modulation signal (LFM), nonlinear frequency modulation signal (NLFM), frequency stepping signal (FCP) , frequency coded signal (FSK), two-phase coded signal (BPSK). [0004] (1) Single-frequency pulse signal (CW) means that the carrier frequency is fixed in each pulse sent, which can be expressed as: [0005] ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01S7/02G01R21/00
Inventor 马秀荣张媛
Owner TIANJIN UNIVERSITY OF TECHNOLOGY
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