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Modulation signal identification method based on complexity characteristic under low signal-to-noise ratio condition

A technology of complex characteristics and signal modulation, applied in the direction of modulation carrier system, digital transmission system, electrical components, etc., to achieve the effect of low signal-to-noise ratio and simple calculation method

Inactive Publication Date: 2012-05-02
HARBIN ENG UNIV
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Problems solved by technology

[0003] The purpose of the present invention is to provide a modulation signal recognition method based on complexity features under low signal-to-noise ratio that can overcome the problem that it is difficult to classify and identify the modulation type of communication signals under low signal-to-noise ratio in the existing recognition methods

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  • Modulation signal identification method based on complexity characteristic under low signal-to-noise ratio condition
  • Modulation signal identification method based on complexity characteristic under low signal-to-noise ratio condition
  • Modulation signal identification method based on complexity characteristic under low signal-to-noise ratio condition

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Embodiment Construction

[0043] The present invention is described in more detail below in conjunction with accompanying drawing example:

[0044] combine Figure 1~6 , in a strong interference environment, the block diagram of the communication signal modulation type identification system based on multi-fractal dimension is as follows figure 1 As shown, the main steps are:

[0045] 1. First, preprocess the communication signals of different modulation types. If the received communication modulation signal is s, the discrete signal sequence after preprocessing is in, Indicates the number of sampling points of the signal, N 0 is the length of the signal sequence;

[0046] 2. Reorganize the discretized signal sequence according to certain rules:

[0047] For the preprocessed discrete communication signal sequence Indicates the number of discrete signal points, and defines the following characteristic parameters:

[0048] definition Indicates the number of different vectors of the recombined ...

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Abstract

An objective of the invention is to provide a modulation signal identification method based on a complexity characteristic under a low signal-to-noise ratio condition. The method comprises the following steps that: discretization is carried out on an intercepted unknown communication signal to obtain a time signal sequence with a certain interval; the time signal sequence is recombined into characteristic vectors with various lengths according to a certain rule; multiple fractal dimension operation is carried out on the characteristic vectors to obtain a multiple fractal dimension characteristic of the communication signal is extracted; fine characteristics of different signals are extracted under a low signal-to-noise ratio condition; a grey correlation theory is utilized to carry out a correlation algorithm on an extracted unknown signal characteristic and a multiple fractal dimension characteristic of a known modulation type signal in a database, so that it is determined that the modulation type of the signal is a modulation type of a signal having a greatest correlation degree and thus classification identification of the communication modulation signal is realized. According to the invention, capability of detection and distinguishment of communication signals with different modulation types in the strong interference environment is realized, so that an objective of identification on modulation types of communication signals is achieved.

Description

technical field [0001] The invention relates to a signal identification method in the field of software radio. Background technique [0002] Communication signal modulation recognition technology is an important content in software radio and other fields. Its research focuses on intercepting or analyzing communication signals transmitted by communication stations in the absence of prior information, complex environments and noise interference to identify signal The information such as the modulation type and modulation parameters can provide a basis for further analysis and processing. At present, the existing communication signal modulation recognition methods include step-by-step classification recognition algorithms based on parameters such as signal instantaneous amplitude, instantaneous frequency and instantaneous phase, and spectral symmetry; digital modulation signal recognition algorithms based on spectral correlation functions; The identification algorithm and the ...

Claims

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Application Information

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IPC IPC(8): H04L27/00H04B1/00
Inventor 李一兵李靖超林云叶方葛娟康健李一晨田雪宜
Owner HARBIN ENG UNIV
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