High maneuvering target tracking method and system based on LS and NEU-ECEF space-time registration

A high-mobility target and space tracking technology, applied in the field of communication, can solve problems such as complex calculations, large registration errors, and huge computing overhead
CN110187337AActive Publication Date: 2019-08-30UNIV OF ELECTRONICS SCI & TECH OF CHINA
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Patent Information

Authority / Receiving Office
CN Β· China
Patent Type
Applications(China)
Current Assignee / Owner
UNIV OF ELECTRONICS SCI & TECH OF CHINA
Publication Date
2019-08-30

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Abstract

The invention provides a high maneuvering target tracking method and system based on LS and NEU-ECEF space-time registration, and belongs to the technical field of communication. The time is registered by using an improved least squares (LS) virtual fusion method, and it is not required that a ratio of sampling periods is an integer; and then, for a coordinate system conversion relationship of space registration, an algebraic operation of an original matrix is converted into a geometric operation to improve the operation efficiency while reducing the operation cost. In addition, an IMM algorithm is designed as two motion models and is combined with an MSPDAF algorithm to form a high maneuvering target applicable to tracking different dimensions. By adopting the high maneuvering target tracking method and system provided by the invention, the problem that the operation cost is large when the data size is too large in the prior art is solved.
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Description

technical field

[0001] The invention belongs to the field of communication technology, in particular to the field of heterogeneous sensor fusion technology, and specifically relates to a high-mobility target tracking method and system based on LS and NEU-ECEF time-space registration. Background technique

[0002] Today, data fusion techniques are widely applicable to object detection, tracking and recognition, etc. in multi-source sensor networks.

[0003] Existing research on data fusion methods relies on Bayesian frameworks, and one of the effective methods is probabilistic data association (PDA), which can identify uncertainties in data information. In addition, the motion model of a highly maneuvering target may change at any time, and it is difficult to describe its real motion state using any single target motion model. The interactive multi-model (IMM) method introduces multiple target motion models and analyzes the state of each model The estimation is fused accordi...

Claims

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