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Large scale flow-type data processing method in radar radiation source individual identification

A technology of streaming data and processing methods, which is applied in the field of individual identification of radar emitter signals, and can solve problems such as the randomness of threshold setting and the lack of consideration of multi-sensor high-speed emitter data streams, etc.

Inactive Publication Date: 2018-08-31
THE 724TH RES INST OF CHINA SHIPBUILDING IND
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Problems solved by technology

[0003] Most of the existing studies use the method of calculating the similarity of subtle signal features to realize the individual identification of radiation sources, but the selection of the similarity threshold relies too much on human factors such as experts, and the threshold setting is relatively random; at the same time, most of the existing research The similarity calculation process is completed on a single computer, without considering the massive and high-speed radiation source data streams brought about by multi-sensor and multi-type equipment cooperative detection. Furthermore, there are few existing studies on how to satisfy the uniqueness of the individual identification results after similarity calculation.

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  • Large scale flow-type data processing method in radar radiation source individual identification
  • Large scale flow-type data processing method in radar radiation source individual identification
  • Large scale flow-type data processing method in radar radiation source individual identification

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Embodiment Construction

[0009] Process flow of the present invention such as figure 1 shown.

[0010] The radiation source individual identification process first trains the known radiation source template library, and determines the similarity threshold of each template waveform by calculating the similarity between template waveforms in the template library, and finally generates the waveform threshold sequence Q. Let T={t 1 , t 2 , t 3 ...t i} is the waveform collection in the radiation source template library, any signal waveform w and t to be identified j The similarity calculated by Dynamic Time Warping algorithm (Dynamic Time Warping) is defined as:

[0011] Sim=αSim amp +βSim freq (1)

[0012] Among them, Sim amp =DTW(w amp , t j ) is to use the dynamic time warping algorithm to calculate the similarity of the instantaneous amplitude characteristic waveform, Sim freq =DTW(w freq , t j ) is to use the dynamic time warping algorithm to calculate the similarity of the instantaneou...

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Abstract

The invention relates to a large scale flow-type data processing method in radar radiation source individual identification; the method comprises the following steps: training a known radiation sourcein-pulse characteristic waveform template database, calculating similarities among all waveforms in the template database, and determining a similarity threshold of each radiation source individual;enabling a Spark Streaming distributed calculating platform to parse and calculate received binary intermediate frequency data flow containing radiation source in-pulse information, thus obtaining a signal in-pulse instantaneous amplitude waveform and an instantaneous frequency waveform; using instantaneous amplitude and instantaneous frequency features as the individual identification characteristics, using a dynamic time warping algorithm to calculate the similarity between parsed waveform and the waveform in the template database, comparing the similarity calculating result with the similarity threshold, thus obtaining the individual identification result.

Description

technical field [0001] The invention belongs to the technical field of radar radiation source signal identification and relates to an individual identification method for radar radiation source signals. Background technique [0002] With the development of electronic signal passive detection technology, individual radar emitter signal identification has become a research hotspot in the field of electronic signal passive detection technology. Different from using the five-parameter conventional features and intrapulse feature types of the signal as the radiation source classification standard, extracting the subtle features of the radiation source signal can identify different individuals of the same type of radiation source, which improves the ability of passive detection and identification. Signal subtle features usually refer to the unintentional modulation characteristics of signals due to subtle differences in radar internal components, which can uniquely identify indivi...

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Application Information

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IPC IPC(8): G06K9/00
CPCG06F2218/10G06F2218/12
Inventor 戴佳男盛震宇
Owner THE 724TH RES INST OF CHINA SHIPBUILDING IND