Distributed particle filter method based on information consistency

A particle filtering and consistency technology, applied in impedance networks, adaptive networks, electrical components, etc., can solve the problem of not considering the limited observation of sensor network nodes, and achieve reduced network communication overhead, high estimation accuracy and robustness. Robustness, guaranteeing the effect of estimated performance

Inactive Publication Date: 2015-04-01
NAVAL AERONAUTICAL & ASTRONAUTICAL UNIV PLA
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Problems solved by technology

However, this type of method does not consider the limited observation of nodes in the sensor network

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  • Distributed particle filter method based on information consistency
  • Distributed particle filter method based on information consistency
  • Distributed particle filter method based on information consistency

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Embodiment Construction

[0015] The present invention will be described in further detail below in conjunction with the accompanying drawings. Referring to the accompanying drawings of the description, the single cycle method of the target status update of the present invention is divided into the following steps:

[0016] 1. Problem description

[0017] Without loss of generality, consider the following discrete-time nonlinear non-Gaussian system

[0018] x k =f(x k-1 )+w k-1 (1)

[0019] z i,k = h i (x k )+v i,k ,i=1,2,...,N S (2)

[0020] where x k and z i,k represent the state vector of the system and the measurement vector of the i-th sensor respectively, N S Indicates the number of sensor nodes, f and h i Denote the transfer function of the system and the measurement function of the i-th sensor respectively, w k with v i,k are non-Gaussian process noise and non-Gaussian measurement noise, respectively.

[0021] In practical applications, non-Gaussian noise i...

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Abstract

The invention provides a sensor network distributed particle filter method based on information consistency in a nonlinear and non-Gaussian system. According to the method, based on centralized particle filter, network reliability is introduced to represent a global likelihood function, the interaction and the fusion of local reliability are performed through consistency iteration, the consistency of particle samples and weight value among nodes is realized, the precision is estimated to approach an centralized method. The distributed particle filter method based on information consistency is used for realizing consistency state estimation throughout of the network through a distributed mode, and has relatively excellent estimation performances in nonlinear and non-Gaussian environments of flicker noises and the like.

Description

technical field [0001] The invention belongs to sensor network information fusion technology, relates to multi-sensor consistency state estimation problem, and provides a distributed particle filter method based on information consistency under nonlinear and non-Gaussian conditions. Background technique [0002] In order to meet the needs of practical applications, distributed sensor networks are usually deployed in unknown or even dangerous environments to perform tasks, and their application environments may have nonlinear and non-Gaussian characteristics. For example, when the sonar sensor in the coastal anti-submarine detection system detects sea or underwater targets, the received signal not only contains the echo signal of the moving target, but also has interference such as sea clutter noise and ocean water acoustic environment noise. At certain time points, there are significant peak characteristics, and the noise variance will increase sharply, which can be approxim...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H03H21/00
Inventor 刘瑜齐林邓露刘俊王智
Owner NAVAL AERONAUTICAL & ASTRONAUTICAL UNIV PLA
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