Dissertation > Excellent graduate degree dissertation topics show

The Research on the Target Localization and Tracking Based on WSN

Author: HuangYue
Tutor: WuChengDong;WangXiaoZhe
School: Northeastern University
Course: Pattern Recognition and Intelligent Systems
Keywords: wireless sensor networks sound source localization particle swarm optimization algorithm target tracking particle filter algorithm
CLC: TN929.5
Type: Master's thesis
Year: 2009
Downloads: 18
Quote: 0
Read: Download Dissertation

Abstract


As a new information capturing and proeessing technology, wireless sensor networks can be widely applied in many applieation areas, such as battlefield surveillance、environment monitoring, space exploration, indoor user tracking and others. It can realize the functions of locating the person, tracking of the trapped person and so on in a new huge building rescue system because of its unique technology advantages. Target localization tracking is one of its applications which has universal military and civil applications. In this thesis, target localization tracking based on wireless sensor networks is researched.For the trapped person in huge building, particle swarm optimization algorithm is applied to the problem of sound source localization in wireless sensor networks. A model of sound source localization is established which applys the location algorithm based on time difference of arrival method and maximum likelihood estimation method using the different propagation speed between RF signal and sound signal, sample data through wireless sensor network node and realize sound source localization with particle swarm optimization algorithm. The simulation results illustrate that the algorithm has high estimation accuracy and low computational complexity.Classical target tracking algorithms are researched and used for wireless sensor networks target tracking. Tracking precision and robustness of different target tracking algorithm are investigated through changing the non-linear degree of wireless sensor networks system. The simulation results demonstrate the particle filter algorithm has higher tracking precision and stronger robustness in wireless sensor networks target tracking.A new particle filter algorithm is presented. Combining particle filter with extended kalman filter since the disadvantage of general particle filter algorithm, the linear error of extended kalman filter and the current measured value are considered comprehensively which make the distribution of particles closer to the true state of posterior probability distribution. The simulation results show that the algorithm has better tracking effect.

Related Dissertations

  1. Research on Scheduling of Whole-set Orders in JSP Based on Differential Evolution Algorithm,F273
  2. Research on Graph-Based Algorithm for Tagsnps Selection,Q78
  3. Research and Realization on Synchronization Technology of High Sensitivity GNSS Software Receiver,P228.4
  4. Development of the Platform for Compressor Optimization Design and Aerodynamic Optimization Design in the Transonic Compressor,TH45
  5. Effectiveness Evaluation on the Jointed Combat of the Multiple Missiles and Research on Combinatorial Optimization Algorithm,TJ760.1
  6. The Inductive Load Based Vehicle Body Network Control System,U463.6
  7. Reseach on Optimal Control of Elevator Group Based upon Ant Colony Algorithm,TU857
  8. Research on Temprature Controling Technology of Laser Diode with Thermoelectric Cooler,TN248.4
  9. The AES Algorithm and Its Implementation in DSP,TN918.1
  10. Research on UWB Location Technology Using UWB Radio Signal,TN929.5
  11. The Algorithm of DFT with a Subset of Output Points Based on TS101 and Its Software Implementation,TN911.72
  12. Maneuver Detection and Tracking with the Radar Rate Measurement,TN953
  13. Study on Estimation of Two Dimensional Direction of Arrival Using a DBF Receiver,TN851
  14. The Maneuvering Target Tracking Research Based on VRPF,TN957.52
  15. Optimizing and Realising Research on Vedio Compression in TV Guidance System,TN919.81
  16. Study on Channel Coding Algorithm in IEEE802.16e,TN911.22
  17. Research on Decoding Algorithm for LDPC Codes,TN911.22
  18. Research on Multi-Sensor Embattling and Continious Tracking Technique Applying for Anti-Stealth and Anti-Interference,TN953
  19. Research on Parallel Frequent Graph Pattern Mining,TP311.13
  20. The Fatigue State Recognition of the Driver Based on Eye Detection,TP391.41
  21. Research and Implementation on Content-Based Clothing Image Retrieval,TP391.41

CLC: > Industrial Technology > Radio electronics, telecommunications technology > Wireless communications > Mobile Communications
© 2012 www.DissertationTopic.Net  Mobile