Dissertation > Excellent graduate degree dissertation topics show

Research on Weak Signal Detection Based on Nonresonant Parametric Chaos Control

Author: WangMengZuo
Tutor: ZengYiCheng
School: Xiangtan University
Course: Physical Electronics
Keywords: Chaos Control Average method Chen system Weak Signal Detection Chaotic Circuit
CLC: TN911.23
Type: Master's thesis
Year: 2010
Downloads: 56
Quote: 0
Read: Download Dissertation

Abstract


The strong noise signal detected weak signal detection is a hot research field, the use of chaotic oscillator can achieve very low SNR conditions effective for weak signal detection, chaotic oscillator for effective control is the use of chaotic oscillators prerequisite for weak signal detection, chaotic circuit is conducive chaotic oscillator detection method in engineering application. In this paper, based on non-resonance parameters of chaos control and chaos in weak signal detection circuit design to carry out the following tasks: (1) based on non-resonance parameters instigating chaos control method Chen chaotic system control problem studied, the frequency of use is much larger than the average system frequency harmonic signal as a control signal, the control system of the system variables is decomposed into the slow variables and fast variables and, where slow variables based on the average frequency of the system changes, fast variable control signal based on harmonic frequency change, and then use the average France obtained the control system for processing slowly varying systems; slowly varying according to the nature of the system dynamics, obtained by using the control parameters should satisfy. Simulation results confirm that this method can make the control system quickly reach the target state, and the control signal by noise interference, signal to noise ratio in a certain range of the system can still be effectively controlled, that the feasibility of the method. (2) to establish a system based on Chen weak signal detection model. Firstly, the average method detection systems for processing to obtain the slowly varying systems; then slowly varying dynamics of the system, the system reached steady state by the periodic state to the origin detection parameter thresholds. By adjusting the detection parameters, and observing the changes in the system state variables can determine whether the signal being measured. Simulation results show that the method can be strong noise effectively weak harmonic signal detection. And the other based on chaotic oscillator is currently weak signal detection method compared to the theoretical analysis of the method can be detected accurately calculate critical parameter values, and the calculation process is simple, suitable for application in the relevant fields. (3) based on chaotic system design, the design of a new three-dimensional quadratic autonomous chaotic system. By calculating the Lyapunov exponent spectrum and Lyapunov dimension, and bifurcation diagrams and Poincare (Poincare) cross-section, etc., the basic dynamic characteristics of the system were studied. Then, based on this new chaotic system model, using the basic operation circuit and related components designed chaotic circuit and system parameters and circuit parameters to establish the corresponding relationship between the circuit using Pspice software simulation experiments confirmed the correctness of the analysis . This paper presents chaotic systems and circuits, as well as Chen system in the weak signal detection applications in the field of exploration, in the relevant field has a certain application value.

Related Dissertations

  1. The Design and Implementation of Assessment Information System of PLA Officers in Active Service,TP311.52
  2. Research on Signal Processing Technology of Fiber-optic Hydrogen Sensors Based on DSP,TN911.7
  3. Chaotic System Control Via Self-constructing Neural Network,TP183
  4. Weak signal detection mechanism of stochastic resonance network model and its application,TN911.23
  5. Research on Chaos and Its Control of Planar Closed Underactuated Mechanism,TH112
  6. The Design and Realization of Vehicle Information Detecting System Based on Ultrasonic Technology,U495
  7. Guangzhou area of construction project bidding evaluation methods,F284
  8. Research on Adaptive Synchronization and Control Strategy in Complex Networks,O157.5
  9. The Application of Wavelet Analysis and Chaos Theory on Image Encryption,TP309.7
  10. Analysis and Control of the Chaotic Systems,TP13
  11. Research of Anticontrol of Chaos via Direct Time Delay Feedback,TP13
  12. Dual flexible structural beam collision bifurcation motion and control,TB122
  13. Research on Controling Chaos of Optical Second Harmonic Generation,O415.5
  14. Research on Tip Position Control and Signal Collection Technology of Scanning Near-field Optical Microscope,TH742
  15. Adaptive Neuro-Fuzzy Control for Uncertain Chaotic System,TP13
  16. The Dynamical Analysis of Duopoly Models for Heterogeneous Products,O242.1
  17. Study on Electricity Price Forecasting Model and Forecasting Method,F224
  18. Research on the Method of Weak Feature Extraction and Incipient Fault Diagnosis for Complex Electromechanical Equipment,TH165.3
  19. Chaos Control and Synchronization of Complex Hinmarsh-Rose Neural Network with Nonlinear Time Delay Coupling Function,O415.5
  20. Study of Optical Coherence Tomography System,O435.1

CLC: > Industrial Technology > Radio electronics, telecommunications technology > Communicate > Communication theory > Information Theory > Signal detection and estimation
© 2012 www.DissertationTopic.Net  Mobile