Dissertation > Excellent graduate degree dissertation topics show

Self - correction information fusion signal Wiener filter

Author: GuanLinLin
Tutor: DengZiLi
School: Heilongjiang University
Course: Control Theory and Control Engineering
Keywords: Multisensor distributed information fusion weighted measurement fusion Wiener filter white noise estimator deconvolution
CLC: TN713
Type: Master's thesis
Year: 2006
Downloads: 81
Quote: 0
Read: Download Dissertation

Abstract


For the multisensor system with unknown model parameters and noise statistics, by the modern time series analysis methed, based on on-line identification of the autoregressive moving average(ARMA) innovation model parameters by the lease squares methed the unknown model parameters and noise variances can be estimated. Under the linear minimum variance optimal information fusion criterion weighted by scalars, a self-turing distribuced information fusion white noise deconvolution filter is presenced, two self-turing distribuced information fusion Wiener filter are presenced for ARMA signals, and a self-turing distribuced information fusion Wiener deconvomation filter is presenced for AR signal. Based on optimal weighted measurement fusion methed, a self-turing weighted measurement fusion white noise deconvolution filter is presenced, a self-turing Weighted measurement fusion Wiener filter is presenced for ARMA signal, and a self-turing Weighted measurement fusion Wiener deconvomation filter is presenced for AR signal. Many simulation examples show their effectiveness. The simulation results show that the accuracy of self-turing fusion is higer than that of each local filters,and they have asympotic optimality, i.e if the parameter estimation of the ARMA innovation model is consistent, then they will converge to the optimal fusion with known model parameter and noise statistics.

Related Dissertations

  1. Of speckle noise removal in medical ultrasound image,TP391.41
  2. Main Energy Spiking Deconvolution,P631.4
  3. Research on Anti-noise Speech Recognition Methods Based on Robustness PLPC,TN912.34
  4. Research on Anti-Noise Matching Criteria of Motion Estimation,TP391.41
  5. Algorithm based on complex wavelet transform partial discharge signal extraction,TM83
  6. Accuracy Analysis of FFT and FT Spectrum Correction and Its Application in Vibration Test of Powertrain,TN911.7
  7. Self-tuning information fusion filters based on the ARMA innovation model,TN713
  8. Based on the Riccati equation self- correction information fusion filtering method research,TN713
  9. The Research on the Detection of Transient Power Quality Disturbance,TM76
  10. Research and Realization of White Noise Generator of Dynamic Background Signal in Complicated Electromagnetism Environment,TN971.1
  11. On the Postmodern Consumerism and Its Whiteness in White Noise,I712.074
  12. Analysis on Stationary Properties of Stochastic Systems Driven by Cross-correlated Multiplicative Noises,O415.2
  13. Optimal white noise deconvolution filter multi - sensor information fusion based on Kalman filtering method,TP202.4
  14. The Phenomenon of the Consumer Society Embodied in White Noise,I712.074
  15. The Measurement of Sound Travel-time in Acoustic Temperature Tomography,TP274.5
  16. Self-tuning distributed information fusion state estimators and its application,TP202
  17. Optimal and self-tuning measurement fusion state estimators and its application,TP212.9
  18. Time-varying multi - sensor information fusion filtering and its application,TP202
  19. Random Attractors of Cahn-Hilliard Equations,O175.29
  20. The Destructive Power of Mass Media in White Noise,I712.074

CLC: > Industrial Technology > Radio electronics, telecommunications technology > Basic electronic circuits > Filtering techniques,the filter
© 2012 www.DissertationTopic.Net  Mobile