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Distributed true and false warhead identification method based on hard decision

An identification method and distributed technology, applied in the distributed field of identifying true and false warheads

Inactive Publication Date: 2018-04-06
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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  • Summary
  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0012] If F 0 and F c are known, and the Newman-Pearson detector can be used to perform the likelihood ratio test; but in practice, F c is an unknown parameter matrix, which makes (3) a compound hypothesis testing problem

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  • Distributed true and false warhead identification method based on hard decision
  • Distributed true and false warhead identification method based on hard decision
  • Distributed true and false warhead identification method based on hard decision

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Embodiment Construction

[0081] The specific steps of the distributed detection method based on hard decision and LOUD detector are as described in the summary of the invention, and the simulation results obtained by 10,000 Monte Carlo experiments are as follows figure 2 As shown, the parameters used in it are as follows:

[0082] Considering the movement of the multi-dimensional parameters of the warhead target, the state vector of the warhead includes its position, velocity and micro-movement, and its initial value is set here as x 0 =[100,200,1000,100,50,10,0.05,0.06,0.08] T . When the system is initially stable, the state matrix is ​​F 0 , after the true and false warheads are separated, the state matrix of the real warhead remains unchanged, and the state matrix of the false warhead becomes F c . According to the modeling and analysis of warhead target motion, F k+1 with G k+1 specific form.

[0083]

[0084]

[0085] Among them, the observation time interval T=0.1s, and the frettin...

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Abstract

The invention discloses a distributed true and false warhead identification method based on hard judgment, which belongs to the technical field of radar. According to the modeling and analysis of the motion characteristics of the warhead target in the middle of the trajectory, a state-space model based on distributed processing is established, and the parameter matrix in the state-space model is used to represent the micro-movement difference between the true and false warheads, and the problem of warhead identification is transformed into a two-dimensional model. Meta-hypothesis testing problem, each local processor inputs local observation data into LOUD detector, outputs local hard judgment result 0 / 1, each local judgment result is sent to fusion center, uses K / G fusion criterion to give global judgment result, thus Complete the discrimination of true and false warheads. This method does not need to estimate the unknown state matrix, and adopts a distributed processing structure. While reducing the data transmission and communication loss of the radar system, it ensures a high detection probability, and has the effects of short data processing time and high recognition accuracy. .

Description

technical field [0001] The invention belongs to the technical field of radar, is a distributed method for identifying true and false warheads, and is based on a LOUD (Locally Optimal Unknown Direction) detector and a hard decision detection algorithm. Background technique [0002] Ballistic missiles have become one of the "killer" weapons of modern warfare due to their advantages such as long range, high power, high precision and strong survivability. With the development of ballistic missile technology, ballistic missile defense system came into being. Target recognition of true and false warheads is the key and difficult point in the ballistic missile anti-missile system, and has received extensive attention at home and abroad in recent years. [0003] The trajectory of a ballistic missile is divided into boost phase, middle phase (free phase) and re-entry phase. Defending against ballistic missiles in the boost phase requires the defense system to be pre-deployed, which...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01S7/41
CPCG01S7/41
Inventor 张凯丽何茜何子述
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA