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Flight track extraction method based on probability hypothesis density filter associated with global time and space

A technology of probability hypothesis density and space-time correlation, which is applied to navigation calculation tools and other directions, can solve the problem of not using global space-time information at the same time, and achieve the effect of improving the effect of track extraction and the accuracy of track extraction

Inactive Publication Date: 2014-09-03
NORTHWESTERN POLYTECHNICAL UNIV
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Problems solved by technology

The above track extraction methods are all based on local spatial information, that is, the global space-time information is not used at the same time when extracting any track

Method used

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  • Flight track extraction method based on probability hypothesis density filter associated with global time and space
  • Flight track extraction method based on probability hypothesis density filter associated with global time and space
  • Flight track extraction method based on probability hypothesis density filter associated with global time and space

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Embodiment

[0056] Simulation scenario: the target detection probability is Pd=0.98, and the survival probability is Pe=0.99. The target is moving in two-dimensional space, and its state equation is

[0057] X(k+1)=F(k)X(k)+v(k)

[0058] Among them, the state vector X ( k ) = x x · y y · ' , State transition matrix F ( k ) = 1 T 0 1 ⊗ I 2 , The process noise covariance is Q = Φ Q 2 T 4 4 T 3 2 T 3 2 T 2 ⊗ I 2 , Among them, the sampling time is T=1s, and the process noise is Gaussian white noise and is independent of the measurement noise. Φ Q =0.25, I 2 It is a 2×2 identity matrix.

[0059] The measurement equation is

[0060] Z(k)=h[X(k)]+ω(k)

[0061] Among them, Z(k)=[ρ(k)θ(k)]', and ω is Gaussian white noise. h [ X ( k ) ] = x 2 ( k ) + y 2 ( k ) arctan ...

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Abstract

The invention discloses a flight track extraction method based on a probability hypothesis density filter associated with global time and space. The flight track extraction method comprises the following steps: S1, extracting a target state by using the probability hypothesis density filter; S2, measuring consistency and calculating consistency confidence; and S3, obtaining a global flight track extraction strategy. By adopting the scheme, the target state is firstly obtained by using the probability hypothesis density filter; then the consistency between a predicted peak value and an estimated peak value is measured by using global time-space information and the consistency confidence is calculated; simultaneously four decision rules based on expert knowledge of the flight track extraction are shown, namely a rule for judging inseparable targets, a rule for judging homology of the targets, a rule for judging disappearance of the targets and a rule for judging novel targets; a global flight track extraction strategy is shown based on the consistency confidence and four decision rules, thereby extracting flight tracks of a plurality of targets, improving the flight track extraction effect, improving the flight track extraction accuracy and playing an important role in multi-target tracking engineering application.

Description

Technical field [0001] The invention relates to a track extraction method, in particular to a track extraction method based on a probability hypothesis density filter based on global time-space correlation. Background technique [0002] Multi-target tracking technology is widely used in communications, radar, biomedicine and other fields, and is an important and difficult research topic. Among them, multi-target tracking in a clutter environment is a relatively difficult subject. When the target or clutter appears or disappears, the number of targets and the observed value generated by the target may change over time. The traditional method to deal with the problem of multi-target tracking is multi-target tracking algorithms based on data association, such as nearest neighbor method (NN), probabilistic data association (PDA) algorithm, joint probabilistic data association (JPDA) algorithm and multi-hypothesis tracking ( MHT) algorithm, etc. This type of algorithm uses the corre...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01C21/20
CPCG01C21/20
Inventor 杨峰史玺王永齐梁彦潘泉刘柯利陈昊史志远王碧垚
Owner NORTHWESTERN POLYTECHNICAL UNIV
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