Distributed batch estimation fusion method for asynchronous multistatic radar system

A technology of radar system and fusion method, which is applied in the direction of radio wave measurement system, instrument, etc., can solve the problem of difficult fusion of sampling rate and initial deviation asynchronous data, and achieve the effect of simple operation and low calculation amount

Active Publication Date: 2017-11-14
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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Problems solved by technology

[0004] The purpose of the present invention is to provide a distributed batch estimation data fusion method for an asynchronous multistatic radar system to effectively solve the probl

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  • Distributed batch estimation fusion method for asynchronous multistatic radar system
  • Distributed batch estimation fusion method for asynchronous multistatic radar system
  • Distributed batch estimation fusion method for asynchronous multistatic radar system

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[0036] In order to make the purpose, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the implementation methods and accompanying drawings.

[0037] see figure 1 , the specific implementation process of the distributed batch estimation data fusion method for asynchronous multistatic radar system of the present invention is as follows:

[0038] First initialize the system parameters, including:

[0039] The size of the monitoring plane; the number of transmitter radars M; the number of receiver radars N; the placement position of transmitter radars m, m=1,2,...,M Placement of receiver radar n,n=1,2,...,N Total observation time t total ;measurement identifier k=1; t=0s; initial state of the target at t=0s Where (x(0), y(0)) is the initial position of the target, Represents the initial velocity of the target; the initial state deviation of the target follows a Gaussian ...

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Abstract

The present invention discloses a distributed batch estimation fusion method for an asynchronous multistatic radar system. Firstly, an update cycle is set according to a sampling rate of a local radar and an actual requirement of data updating, a particle filtering algorithm is used to carry out local filtering at a multistatic radar, a local posterior estimation result and a local prediction density function of the multistatic radar in the update cycle are obtained, then a Gauss approximation model is used to approximate the local posterior estimation result and the local prediction density function as Gauss distribution, communication is carried out among multiple radars to exchange corresponding Gauss parameters, finally an alignment strategy of using a target state transfer characteristic to carry out recursion to carry out alignment of asynchronous Gauss parameters of the multiple radars, and the distributed batch estimation fusion method is used to fuse the aligned Gauss parameters. According to the method, a problem that the asynchronous data of a synchronous multistatic radar is difficult to fuse can be effectively solved, the calculation quantity of the fusion process is low, and the fusion precision is high.

Description

technical field [0001] The invention relates to the technical field of radar data fusion, in particular to an asynchronous multi-base radar data fusion technology. Background technique [0002] In recent years, due to the increasing complexity of the electronic countermeasure environment, multistatic radar has received more and more attention, especially the development of modern communication technology and multi-radar data fusion technology, which provides a good opportunity for the development of multistatic radar. Compared with ordinary single-static radar, multi-static radar has many advantages such as long range, anti-low altitude penetration, concealment and strong anti-interference, so it is widely used in many fields such as target detection, target positioning and target tracking. Among them, the use of multistatic radar to track multi-targets has been deeply studied as an extremely important research topic. [0003] For multi-target tracking applications, the wor...

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Application Information

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IPC IPC(8): G01S7/42
CPCG01S7/42
Inventor 易伟黎明王经鹤王祥丽孔令讲陈树东谢明池
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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