Manifold embedding based fine feature extracting method and system of communication radiation source

A technology of subtle features and extraction methods, which is applied in the field of information processing and can solve the problems of poor stability and low definition of individual subtle features of communication radiation sources.

Inactive Publication Date: 2016-12-07
ELECTRONICS ENG COLLEGE PLA
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0008] The purpose of the present invention is to provide a method and system for extracting individual fine features of communication radiation sources, which solves the problems of poor stability and low definition of individual fine features of communication radiation sources extracted by existing methods, and effectively maintains the communication radiation source. The phase and amplitude information of the transmitted signal provides essential subtle features that can better reflect the inherent differences of the signal for subsequent classification and identification

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  • Manifold embedding based fine feature extracting method and system of communication radiation source
  • Manifold embedding based fine feature extracting method and system of communication radiation source
  • Manifold embedding based fine feature extracting method and system of communication radiation source

Examples

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Embodiment 1

[0063] Example 1: Participation figure 1 , a method for extracting subtle features of communication radiation sources, comprising the following steps:

[0064] Step 1: Receive various communication radiation source signals through the reconnaissance antenna, and perform frequency selection, power amplification, and frequency mixing on the received communication radiation source signals to obtain intermediate frequency signals;

[0065] Step 2: Filter, amplify, A / D change, and quadrature demodulate the obtained intermediate frequency signal to obtain I / Q two-way digital zero intermediate frequency signal;

[0066] Step 3: Carry out rectangular integral bispectral transformation to the I / Q two-way digital zero-IF signal, and obtain the rectangular integral bispectral characteristic matrix X=[x of 2 FM radio stations 1 ,x 2 ,...,x i ,...,x 10 ]∈R 256×10 , i=1,...,10, the dimension of the rectangular integral bispectral feature vector is 256, the number of rectangular integra...

Embodiment 2

[0119] Example 2: Participation figure 2 , a communication radiation source individual fine feature extraction system, characterized in that it includes: a signal receiving and preprocessing module 1, a signal fine feature extraction module 2;

[0120] The signal receiving and preprocessing module 1 includes: a signal receiving and preprocessing unit 1.1, a radio frequency preselection amplifying unit 1.2, a frequency mixing unit 1.3, an intermediate frequency filtering and amplifying unit 1.4, an A / D processing unit 1.5, and a digital quadrature demodulating unit 1.6 , rectangular integral bispectral conversion unit 1.7; the signal receiving and preprocessing unit 1.1 is used to receive the communication radiation source through the antenna; the radio frequency preselection amplification unit 1.2 is used to perform frequency selection and power amplification processing on various communication radiation source signals , to obtain a preselected signal; the frequency mixing un...

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Abstract

The invention discloses a manifold embedding based fine feature extracting method and system of communication radiation source. The method comprises the steps including receiving signals of the communication radiation source, RF preselecting and amplification, frequency mixing, filtering intermediate frequency, A/D conversion, digital orthogonal demodulation, rectangular integration double-spectrum transformation, local neighborhood centralizing, local tangent space spline operation and arrangement operation, orthogonal projection of a generalized feature matrix and extraction of individual fine features. According to the invention, an orthogonal local stripe determining embedded manifold learning method is used to dig low-dimension manifolds, embedded in the communication radiation source, in individual high-dimension observation data; the problems that individual fine features, extracted by a present method, of the communication radiation source is low in stability and sharpness and includes distorted phase and amplitude information are solved effectively, and intrinsic fine features which can reflect intrinsic difference of signals more effectively are provided for classified identification later.

Description

technical field [0001] The invention belongs to the technical field of information processing, and in particular relates to a method and system for extracting subtle features of communication radiation source individuals. Background technique [0002] Relevant data show that developed countries have formed equipment for the research results of individual subtle feature extraction of radiation sources, and corresponding sets of analysis equipment have been applied to platforms such as reconnaissance aircraft, reconnaissance ships, and reconnaissance satellites, thus constructing a three-dimensional electromagnetic radiation source reconnaissance system , greatly improving the capability and efficiency of electronic intelligence collection. Taking the United States as an example, since the Gulf War, it has been able to use electronic reconnaissance satellites and other land, sea and air electronic reconnaissance platforms to build a three-dimensional electronic intelligence re...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00
CPCG06F2218/10
Inventor 雷迎科李科蔡晓霞杨晓静陈红孔辉王锐
Owner ELECTRONICS ENG COLLEGE PLA
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