A State Estimation and Data Fusion Method for Multi-rate Observational Data

A technology for observation data and state estimation, which is applied in the fields of electrical digital data processing, special data processing applications, computing, etc., and can solve the problems of energy saving without considering distributed data fusion.
CN104331630BInactive Publication Date: 2017-09-08BEIJING INSTITUTE OF TECHNOLOGYGY
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
BEIJING INSTITUTE OF TECHNOLOGYGY
Publication Date
2017-09-08
Estimated Expiration
Not applicable · inactive patent

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Abstract

The present invention proposes a centralized state estimation and data fusion method of multi-rate observation data, and applies the lifting technology to model the multi-rate estimation system as a single-rate discrete-time system with multiple random parameters. Based on the obtained system model, a centralized fusion estimation algorithm, a sequential fusion estimation algorithm and a distributed fusion estimation algorithm are proposed respectively.
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Description

technical field

[0001] The invention belongs to the technical field of multi-sensor information fusion in the aspect of information processing, and relates to a state estimation and data fusion method for multi-rate observation data. Background technique

[0002] In dynamic systems, filtering is an estimate of the current state. The word "filter" is used because the process of obtaining an optimal estimate from noisy data is equivalent to "filtering out" that noise. The term filtering therefore has the meaning of eliminating interfering signals, ie noise. In the control system, the controller also needs to filter the signal to obtain the state estimation in the dynamic system. Signal filtering is often used in signal processing in the frequency and spatial domains. In the spatial domain, for example, a signal from a certain direction is selected. Navigation is an evaluation platform that detects the location of sensors.

[0003] In the sensor network, the state estimati...

Claims

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