Artificial fish-swarm based particle filtering method

A particle filter and artificial fish swarm technology, applied in the direction of instruments, computing models, biological models, etc., can solve the problems of particle degradation, particle loss of diversity, etc., to achieve the effect of improving particle distribution, increasing diversity, and improving filtering accuracy
CN102360451AInactive Publication Date: 2012-02-22JIANGSU UNIV OF SCI & TECH
2 Cites 12 Cited by

Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
JIANGSU UNIV OF SCI & TECH
Publication Date
2012-02-22
Estimated Expiration
Not applicable · inactive patent

Smart Images

  • Figure 1
    Figure 1
  • Figure 2
    Figure 2
  • Figure 3
    Figure 3
Patent Text Reader

Abstract

The invention provides an artificial fish-swarm based particle filtering method in which the artificial fish-swarm algorithm is introduced into particle filtering. The basic thinking of the method is as follows: the clustering and foraging behaviors of the artificial fish-swarm algorithm are introduced while the target function, namely the measurement function, is selected and the importance weight is adjusted to guide the prior particles to continuously move toward a high likelihood domain, thus improving particle distribution, increasing the diversity of the particles and improving the filtering precision of the algorithm; besides, in the artificial fish-swarm algorithm, when a domain for optimization is larger or is in an area which is flat in change, a part of artificial fishes randomly move aimlessly, thus affecting the optimization efficiency; and the invention further provides an adaptive step method to improve the randomness of artificial fish view selection, thus not only lightening the computational burden of the algorithm but also ensuring the algorithm convergence.
Need to check novelty before this filing date? Find Prior Art

Description

technical field

[0001] The invention combines an artificial fish swarm intelligent algorithm and a particle filter algorithm to propose an artificial fish swarm particle filter method, which belongs to the field of nonlinear system filtering. Background technique

[0002] The particle filter developed in recent years has broken through the Kalman filter theory, and it has no restrictions on the system process noise and measurement noise. Particle filter uses the Monte Carlo method to solve the integral operation in Bayesian estimation based on the theorem of large numbers, and approximates the Bayesian estimation of nonlinear systems by predicting and updating the sampling set from the system probability density function. It has unique advantages and wide applications in parameter estimation and state filtering of linear and non-Gaussian time-varying systems. Particle filtering is an interdisciplinary subject between modern signal and information processing disciplines and s...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More