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A box dimension-based emitter fingerprint feature extracting method

An extraction method and fingerprint feature technology, which is applied in the field of radiation source fingerprint feature extraction, can solve the problems that it is difficult to meet the requirements for the validity and reliability of individual radiation source identification, and the accuracy rate of individual radiation source identification is low, so as to meet the requirements of validity and reliability. Sexual needs, the effect of improving the accuracy rate

Active Publication Date: 2018-05-29
HARBIN INST OF TECH
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Problems solved by technology

[0004] The purpose of the present invention is to solve the problem that the traditional characteristic parameters are difficult to meet the requirements for the validity and reliability of individual radiation source identification, resulting in a low accuracy rate of individual radiation source identification, and propose a method for extracting radiation source fingerprint features based on the box dimension

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  • A box dimension-based emitter fingerprint feature extracting method
  • A box dimension-based emitter fingerprint feature extracting method
  • A box dimension-based emitter fingerprint feature extracting method

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specific Embodiment approach 1

[0025] Specific implementation mode one: combine figure 1 , figure 2 , image 3 To illustrate this embodiment, the specific process of a radiation source fingerprint feature extraction method based on box dimension in this embodiment is as follows:

[0026] Step 1. Segment processing the received one-dimensional radiation source signal to obtain the one-dimensional radiation source signal segment S 1 ,S 2 ,…S i ..., S n , to display the subtle features of the signal and increase the feature dimension; S i is the i-th one-dimensional radiation source signal segment, 1≤i≤n, and n is a positive integer;

[0027] The specific process is:

[0028] In order to describe the radiation source signal from a more subtle point of view, and to better distinguish the differences between different radiation source signals, the radiation source signal is first divided into several signal segments. The specific implementation method of signal segmentation is to use the sliding window ...

specific Embodiment approach 2

[0040] Embodiment 2: The difference between this embodiment and Embodiment 1 is that in the step 2, the one-dimensional radiation source signal segment obtained in the step 1 is subjected to box dimension feature extraction to obtain the box dimension feature vector; the specific process is :

[0041] In fractal theory, box counting dimension is one of the morphological dimensions, also known as Minkowski-Bouligand dimension or Minkowski dimension, referred to as box dimension, which is often used in Euclidean space (R n ) calculation of fractal dimension. Generally speaking, the calculation of the box dimension is relatively simple. Firstly, the fractal to be calculated is covered with equally spaced grids, and the number of grids (boxes) occupied by the fractal is counted. When the grid spacing becomes smaller, the number of boxes required to cover the fractal body increases, and the box dimension is the fractal dimension used to describe the relationship between the number...

specific Embodiment approach 3

[0068] Specific implementation mode three: the difference between this implementation mode and specific implementation mode one or two is: in the step two two, the one-dimensional radiation source signal segment S i Preprocessing to get the sequence X t ; The specific process is:

[0069] Signal preprocessing and resampling make it easier for the algorithm to count the number of squares;

[0070] First, use formula (7) to analyze the one-dimensional radiation source signal segment S i Move up (make the one-dimensional radiation source signal segment S in the coordinate system i The minimum value of is zero) to get the one-dimensional radiation source signal segment S i has a minimum value of zero Even if the one-dimensional radiation source signal segment S i The minimum value of is moved to the x-axis of the Cartesian coordinate system;

[0071]

[0072] in is the one-dimensional radiation source signal segment S after the upward shift processing i , is the one...

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Abstract

The invention provides a box dimension-based emitter fingerprint feature extracting method and relates to an emitter fingerprint feature extracting method. The method is aimed to solve the problem that conventional feature parameters cannot meet the requirements for the effectiveness and reliability of specific emitter identification and thus the accuracy of specific emitter identification is low.The box dimension-based emitter fingerprint feature extracting method comprises the steps of: firstly, performing segment treatment on a received one-dimensional emitter signal to obtain one-dimensional emitter signal segments; secondly, performing box dimension feature extracting on the one-dimensional emitter signal segments obtained in the first step to obtain a box dimension feature vector. The method is applicable to the field of specific emitter identification.

Description

technical field [0001] The invention relates to a method for extracting radiation source fingerprint features. Background technique [0002] Radiation source individual identification, also known as "radiation source fingerprint identification" or "specific radiation source identification", mainly uses passively received radiation source signals, analyzes its subtle characteristic parameters, and uses fingerprint feature extraction to distinguish different individuals of the same type of radiation source . Due to the difference in the physical components of the radiation source, each radiation source waveform has unique characteristics, which are called fingerprint features, and the key technology of individual radiation source identification lies in the selection and extraction of fingerprint features. Individual identification of radiation sources has many applications in both military and civilian applications. The military aspect is mainly for individual identification...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00
CPCG06F2218/08
Inventor 赵雅琴王昭吴龙文张宇鹏李锦江
Owner HARBIN INST OF TECH
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