Dissertation > Excellent graduate degree dissertation topics show

Study on Source Localization via Signal Representation Using Over-Complete Bases

Author: YaoBoBin
Tutor: GuoYuanShu
School: Chang'an University
Course: Traffic Information Engineering \u0026 Control
Keywords: direction of arrival (DOA) second order cone programming (SOC) sparse component analysis (SCA) Regularization method signal subspace fitting (SSF)
CLC: TN911.6
Type: Master's thesis
Year: 2008
Downloads: 90
Quote: 0
Read: Download Dissertation

Abstract


This thesis mainly studies the sensor array source localization problem from the perspective of a signal representation using over-complete bases. Different from the signal subspace fitting (SSF) method, such as multiple signal classification method (MUSIC), the thesis transforms source location problem to an ill-posed inverse problem which can be solved by regularization to obtain the precise DOA. Over-complete system always shows sparse solution, so two sparsity methods are introduced- 1 norm and p norm, which later are applied to regularization as an constrain item to insure the sparse solution and the peak spectrum occurred at correct source location. The 1 regularization has some different forms due to the objective function and constrain item, fortunately however, they can be translated to conform to second order cone programming (SOC) and can be solved effectively by inner point method (IPM). The non-convex property of p regularization has to need an local optimization iterative method to approximate its global minima. The simulation shows that the above methods can obtain satisfactory estimation of DOA.In addition, under different assumption of multiple sample signals, presents several methods: the average method can be used for non-zero mean value signal, the beam-formation space method for zero mean value signal and the SVD method for both. Attribute to the absence of covariance matrix of sensor array output, the methods in this thesis can resist the influence of correlate signal which can cause order wane of signal subspace. Finally studies the property of above methods through computer simulation, including resolution, robustness to noise and robustness to correlated signals. The result shows that the methods in this paper have better resolution than the traditional SSF method under the same condition and even can perform effectively under lower signal-noise ratio and multiple correlated signals circumstance.

Related Dissertations

  1. Study in Mathematical Model on Heat and Moisture Transfer through Textiles,TS101
  2. Electrical Impedance Tomography numerical solution of the problem in some studies,O441.4
  3. On the BP Algorithm: A Regularization Approach,TP183
  4. Structural Damage Identification by Virtual Load Method,TU312.3
  5. Research of Rule Description Method Based on Fuzzy Control,TP13
  6. Theory and Simulation Experiment Study on Learning Algorithms of Neural Network and Support Vector Machine,TP18
  7. Study on Bridge Structural Parameters Identification and Damage Detection Techniques Based on Bridge-vehicle Coupled Vibration Analysis,U441.3
  8. Study of the Numerical Computational Methods in Biomedical Electromagnetic Forward and Inverse Problems,R318
  9. Study on Array Super-resolution and Altitude Measurement in VHF Radar,TN957.51
  10. Several anti- Helmholtz equation Issues,O175.2
  11. Phased microphone array based on reverse noise source identification principles and techniques of research,TN912.34
  12. Studies on Numerical Methods for Several Inverse Problems for Parabolic Equations,O241.82
  13. The Study of Mobile Location Algorithm Based on Cellular Network,TN929.5
  14. Research on DOA Estimation Based on High-Order Cumulant,TN911.7
  15. Application of Quadrature Methods and Regularization Methods to the Numerical Solution of First Kind Volterra Integral Equations with Weakly Singular Kernels,O241.83
  16. Millimeter-wave modeling and analysis of radiation characteristics of target,TP722
  17. Research on Identification Method of Multi-mixed Vibration Signal of Aircraft Engine,V231
  18. Boundary condition with damping acoustic scattering problem several numerical methods,O411
  19. Uniqueness and Existence of Solutions of a Class of Degenerate Quasilinear Parabolic Equations,O241
  20. Study on the Computer Tomography and Generalized Inversion of Civil Engineering,TU317

CLC: > Industrial Technology > Radio electronics, telecommunications technology > Communicate > Communication theory > Signal analysis
© 2012 www.DissertationTopic.Net  Mobile