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Passive cooperative positioning method for predicting fast covariance interactive fusion on basis of information theory

A collaborative positioning and covariance technology, applied in positioning, measuring devices, radio wave measuring systems, etc., can solve the problems of tracking accuracy to be improved, high communication bandwidth requirements, and high computational complexity, so as to improve the fusion effect and complexity The effect of high and low algorithm complexity

Active Publication Date: 2018-10-30
HANGZHOU DIANZI UNIV
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AI Technical Summary

Problems solved by technology

Centralized track fusion (CTF) has high computational complexity and high requirements for communication bandwidth
However, the tracking accuracy of the information matrix fusion (IMF) method needs to be improved.

Method used

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  • Passive cooperative positioning method for predicting fast covariance interactive fusion on basis of information theory
  • Passive cooperative positioning method for predicting fast covariance interactive fusion on basis of information theory
  • Passive cooperative positioning method for predicting fast covariance interactive fusion on basis of information theory

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Embodiment Construction

[0014] Combine below figure 1 The present invention is further analyzed.

[0015] The specific algorithm steps are as follows:

[0016] Step 1 specifically establishes a mathematical model of a passive co-location system with two receiving stations and one external radiation source in a two-dimensional space.

[0017] consider as figure 2 The PCL system shown with two receiving stations and one external radiation source, R 1 and R 2 Respectively represent receiving station 1 and receiving station 2, T represents the external radiation source, O represents the target, r OR1 Indicates O and R 1 the distance between, r OR2 Indicates O and R 2 the distance between, r OT Indicates the distance between O and T, r R1T means R 1 Distance from T, r R2T means R 2 distance from T.

[0018] First establish the target motion model, and record the state of the target at the kth frame can be: where [x(k),y(k)] and Represent the position and velocity of the target in the kth...

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Abstract

The invention discloses a passive cooperative positioning method for predicting fast covariance interactive fusion on the basis of an information theory. The method includes the steps that 1, a mathematical model of a passive cooperative positioning system for two receiving stations and one external radiation source is constructed; 2, the two receiving stations separately perform prediction and updating on the state of a target according to an extended Kalman filtering algorithm; 3, according to an information theory optimization criterion and by taking original fusion state estimation into account, a K-L divergence (Kullback-Leibler Divergence) between error covariances can be obtained, and a calculation method for predicting a fast covariance interactive fusion algorithm weight is proposed; 4, an algorithm for predicting the fast covariance interactive fusion is proposed to obtain state estimation of the target. Under a passive positioning environment of the receiving stations and the external radiation source, the fusion effect can be improved, the target tracking precision is improved, and the complexity of the algorithm is low.

Description

technical field [0001] The invention belongs to the field of target detection and tracking, and relates to an Information-theoretic criterion based predicted fastcovariance intersection algorithm in Passive Coherent Location (IT-PFCI-PCL) method. Background technique [0002] Passive Coherent Location (PCL) refers to the fact that the radar itself does not emit electromagnetic waves, but uses electromagnetic waves emitted by non-cooperative external radiation sources (such as mobile phone communication base stations, digital TV signal base stations, etc.) to detect and track targets. Compared with the traditional active radar, the PCL system has flexible deployment, low cost, strong anti-interference ability and strong survivability. In addition, the PCL system uses the spatial distribution of dual and multi-base stations to greatly improve the detection performance of the system for low-altitude and stealth targets, and has attracted extensive attention from scholars at hom...

Claims

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Application Information

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IPC IPC(8): G01S5/02
CPCG01S5/0257
Inventor 郭云飞张天宇薛安克陈志坤石义芳
Owner HANGZHOU DIANZI UNIV
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