Multi-target tracking method by means of covariance factorization

Abstract

The invention discloses a multi-target tracking method by means of covariance factorization. The method is used for solving the technical problem of failure in radar target tracking caused by unstable numerical value structures of existing target tracking methods. The technical scheme includes that the method includes that a stable numerical value structural model is set up by means of covariance factorization of estimation error variance matrixes, two positive semi-definite matrixes are subtracted in variance matrixes without estimation errors, and symmetrical matrixes with negative characteristic values cannot be generated in a processing system with limited word length. The multi-target tracking structural model is set up by means of covariance factorization of estimation error variance matrixes, subtraction of two positive semi-definite matrixes in the estimation error variance matrixes is avoided, numerical diffusion in the processing system with limited word length can be avoided, and accordingly reliability of the target tracking system is guaranteed, and failure in radar target tracking and radar system errors can be avoided.

Description

technical field [0001] The invention relates to a radar multi-target tracking method, in particular to a covariance decomposition multi-target tracking method, which belongs to the field of information technology. Background technique [0002] Multi-target tracking technology is widely used in military and civilian fields, and can be used for air target detection, tracking and attack, air missile defense, air traffic control, port and ocean surveillance, etc. In recent years, with the change of the battlefield environment and the development of countermeasures and anti-countermeasures technology, a series of problems such as strong background clutter, low signal-to-noise ratio, low detection probability and high false alarm rate have arisen. and accuracy put forward higher requirements. [0003] The purpose of multi-target tracking is to correspond the measurements received by the detector to different information sources, form different observation sets or trajectories, es...

AI Technical Summary

Problems solved by technology

[0004] In order to solve the technical defect that the numerical structure of the existing target tracking method is unstable and cause the target to lose track during the radar tracking process, the present invention provides a multi-target tracking method based on covariance decomposition. In the measurement update of multi-target tracking, the estimated The covariance matrix of the error is decomposed directly to establish a numerically stable structural model. There are two semi-positive definite matrices subtracted from the variance matrix without error estimation. In a processing system with a limited word length, it can be guaranteed that no symmetric matrix with negative eigenvalues ​​will be generated. , which can avoid target loss in the radar tracking process and the systemic error of the entire radar

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