Dissertation > Excellent graduate degree dissertation topics show

Study on inverse synthetic aperture radar simulation system based on GPU

Author: ShiXinLiang
Tutor: XieXiaoChun
School: Gannan Teachers' College
Course: Optics
Keywords: Radar Imaging GPU ISAR Simulation System
CLC: TN957.52
Type: Master's thesis
Year: 2013
Downloads: 4
Quote: 0
Read: Download Dissertation

Abstract


Because of its powerful computing capabilities and large memory bandwidth, graphicsprocessing unit (GPU) is widely used in the computer and image fields. Inverse synthetic apertureradar (ISAR) is a technique to generate a two-dimensional high resolution image of a movingtarget, and has been widely applied in military and civil fields. On the other hand, ISARsimulation system has also become a necessary method and tool in system design, algorithmresearch and performance evaluation. Nowadays, most of ISAR simulation system aretime-consuming，low efficiency of implement, and high cost of simulation. ISAR simulationsystem based on the high-performance computing power of GPU can effectively improve thefacing difficulties of the system. Currently, papers of research in the field are very rare at homeand overseas. Therefore, the study of ISAR simulation system based on GPU is important andmeaningful.The article do some deep research about the application of ISAR simulation system designedbased on GPU. Implement the algorithm based on GPU including ISAR raw echo signal, rangecompression, envelope alignment, phase compensation, and azimuth compression. Designing thecode based on Matlab and Jacket can improve the efficiency of developing the simulation system.With the floating-point computing power and high-parallel execution of GPU, the system greatlyimproves the real-time performance, effectively reduces the cost of the simulation.Main contents of the paper are as follows:(1) Discussing the development of CUDA, the architecture of GPU supporting CUDAtechnology, the basic concepts in CUDA programming and Matlab Jacket.(2) Establishing ISAR raw point target echo model under high frequency condition. Throughturntable model, it explains the ISAR imaging theory and the Range-Doppler algorithm （RDA）.(3) Implementing the algorithm of ISAR simulation system, how to generate ISAR raw echosignal, range compression, envelope alignment, phase compensation, and azimuth compression.Expound the part of the algorithm on the GPU implementation and optimization.(4) The SAR simulation system is implemented on GPU and CPU platforms respectively.Through imaging the target model, it achieves the functional verification and performance analysis of ISAR simulation system. Comparing GPU and CPU platforms, the results of simulation showthat the SAR simulation system based on CUDA is effective and real-time likely.

Related Dissertations

  1. Research on Validation Methodology and Tool for Models of Simulation System,TP391.9
  2. Visual Feedback and Memory Behavior Based GPU Parallel Ant Colony Algorithm,TP301.6
  3. The Research of the Doppler Parameters Calculation Method in Airborne SAR Imaging,P225.1
  4. Simulation of Underwater Scene Based on GPU,TP391.41
  5. Research on DSP-based Control System of Hexpod Robot,TP242
  6. Handwritten Numeral Recognition and Test-Paper Management Based on Neural Network and GPU,TP391.43
  7. Research on GPU-based Parallel Computing on BLAST Program,TP338.6
  8. Research on Direct Volume Rendering Related Technology,TP391.41
  9. Research and Realization of GPU Based Medical Image Volume Rendering Algorithm,TP391.41
  10. Parallel Implementation and Optimization of Hash Algorithm Based on GPU,TP391.41
  11. GPU accelerated computing speed based on FDTD and simulation studies,TN011
  12. Dynamic Simulation of Ammonia Decomposition System for PEMFCs,TM911.4
  13. The Anisotropic Etching Simulation of Silicon Based on Cellular Automata Model,TB304
  14. Application of Graphics Processing Unit in Matrix Inversion and Normal Mode Analysis,TP391.41
  15. Shuangliu Airport parallel runway safety interval simulation study,V351.11
  16. OSGI-based smart home simulation system design and implementation,TP311.52
  17. Acceleration of X-ray Computed Tomography Reconstruction for Rice Tiller,TP391.41
  18. Research of Rapid Intelligent Intrusion Detection Technology,TP393.08
  19. Research on Technology of Computed Tomography Based on GPU,TP391.41
  20. GPU-Based Parallel Optimization of Adaptive Gaussian Mixture Background Modeling Algorithms,TP391.41
  21. Research of Finite Element Method on GPU,O241.82

CLC: > Industrial Technology > Radio electronics, telecommunications technology > Radar > Radar equipment,radar > Radar receiving equipment > Data,image processing and admission
© 2012 www.DissertationTopic.Net  Mobile