Multifunctional radar work module identifying method based on prediction state expression model

A technology of working mode and identification method, which is applied in the field of radar electronic warfare, can solve problems such as relying on MFR prior information, unable to effectively solve the problem of MFR working mode identification, and HMM unable to fully describe the regular characteristics of MFR signals

Inactive Publication Date: 2017-12-15
NAT UNIV OF DEFENSE TECH
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Problems solved by technology

The existing MFR working mode identification is mainly based on the Hidden Markov Model (HMM) method, which has two main problems: one is that it relies too much on the prior information of MFR, and the other is that HMM cannot fully d...

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  • Multifunctional radar work module identifying method based on prediction state expression model
  • Multifunctional radar work module identifying method based on prediction state expression model
  • Multifunctional radar work module identifying method based on prediction state expression model

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Embodiment Construction

[0068] The invention is suitable for MFR working mode discrimination. figure 1 It is a brief flow chart of the present invention, below in conjunction with accompanying drawing, the method that the present invention proposes is further explained. The specific steps and effects of this method are as follows:

[0069] Step 1: Establish the PSR model of MFR;

[0070] Since the reconnaissance system can only passively detect radar signals, from the perspective of reconnaissance, the generation of radar word sequences is an uncontrolled process. The PSR model of an uncontrolled system can be expressed as a quaternion :

[0071] O is the observation space, a finite discrete set containing all observations, an observation o ∈ O; h is the experience, which refers to the observation sequence starting from the initial moment and ending at the current moment; e is the event, which refers to the observation sequence after the experience , e=o t+ 1 o t+2  … For the linear PSR model,...

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Abstract

The invention relates to a multifunctional radar work module identifying method based on a prediction state expression model. The method includes a first step of establishing a PSR model of MFR, a second step of conducting PSR model training, using a string processing tool to pretreating trained radar character sequence S, calculating noise threshold and filtering noise, searching linear independent vectors, and finally extracting a core event set Q and boundary mark set L, and a third step of using the trained PSR model for MFR work module identification. In the method, the MFR work mode identifying problem is researched, a PSR model is used to replace normal HMM, and better expression capability for a dynamic system is provided, and the model is simpler. The effect of MFR work mode identification based on PSR model is better than that of a conventional HMM method. The method has promising application prospect, and makes radar operation strategy deduction, potential threat estimation and MFR behavior prediction become possible.

Description

【Technical field】 [0001] The present invention belongs to the field of radar electronic warfare, and specifically relates to multifunctional radar working mode identification technology. Furthermore, a multifunctional radar working mode identification method based on a predictive state representation model is proposed for intercepted multifunctional radar signals. 【Background technique】 [0002] Due to its flexible working mode and agile waveform characteristics, the multi-function radar (MFR) can perform multiple functions in parallel, and has been widely deployed and applied. Great challenge. Since the threat level and mission planning of MFR are closely related to its current working mode, only by accurately identifying the working mode of MFR can it be possible to infer the internal state and operation rules of the system, which can provide a basis for MFR threat assessment, behavior prediction, and interference. Intelligent decision-making, etc. provide powerful intell...

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Application Information

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IPC IPC(8): G01S13/02G01S7/02
CPCG01S13/02G01S7/021G01S2013/0272
Inventor 赵锋欧健刘进艾小锋杨建华吴其华李永祯肖顺平
Owner NAT UNIV OF DEFENSE TECH
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