Measuration data correlation method for passive multisensor based on angle cotangent value

Abstract

The invention discloses a rapid data correlation method based on angle cotangent values, which mainly solves the problem of slow correlation speed and low correlation precision rate in the measuration data of the existing passive multisensor. The method of the invention comprises the following steps: building statistic by using the angle cotangent values, and building a candidate correlation set by partitioning pretreatment; simplifying the candidate correlation set by azimuth angle and pitch angle measuring which adopt repeatedly random iterations; and finally picking out correct correlation combine through an indicator function and a cost function. The invention directly adopts the angle information for data correlation, avoids the conversion from angle to distance; the operation efficiency is obviously higher than that of the traditional method; and the invention has excellent engineering application value, can be applied to the fields such as infrared guidance, intelligence fusion war, air traffic control and aerospace, aviation, navigation and the like.

Description

technical field [0001] The invention belongs to the technical field of data processing, and relates to data association of target tracking, in particular to a passive multi-sensor rapid measurement data association method, which can be widely used in infrared guidance, information fusion operations, air traffic control and aerospace, aviation , Navigation and other fields. Background technique [0002] Because passive sensors do not radiate electromagnetic waves, compared with active sensors, they have strong anti-interference ability and good concealment. Therefore, more and more scholars at home and abroad have begun to devote themselves to research in this area. But a key problem that needs to be solved first in a passive multi-sensor system is the correlation of measurement data, that is, to determine which measurements come from the same target. Due to the passive positioning, the sensor can only obtain the azimuth and elevation angle information of the target. When cr...

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Problems solved by technology

In response to this problem, various suboptimal algorithms have been proposed, such as the Lagrangian relaxation algorithm proposed by Pattipati K R, Deb S, Bar-Shalom Y, etc., and the A Generalized S-D assignment proposed by Deb S, Yeddana Pud I M, Pattipati K R algorithm for multisensor-multitarget state estimation, etc., but these algorithms are difficult to obtain a satisfactory solution within a given time

Recently Liu Hang, Dou Li-hua, Pan Feng, and Dong Ling-xun's Research on data association in three passive sensors network proposed an association matrix analysis method, which uses indicator functions instead of multi-dimensional allocation, which improves the calculation speed to a certain extent. But it is still an algorithm based on line-of-sight distance, and this type of algorithm must convert angles into distances, and includes a large number of matrix operations and partial derivative operations, which limits the further improvement of computing speed and affects the real-time tracking effect of targets

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