Dissertation > Excellent graduate degree dissertation topics show

LFMCW radar echo simulation CFAR Algorithm

Author: ZouYiWei
Tutor: ShengWeiXing
School: Nanjing University of Technology and Engineering
Course: Communication and Information System
Keywords: LFMCW Radar echo models Radar clutter simulation CFAR
CLC: TN958.94
Type: Master's thesis
Year: 2010
Downloads: 174
Quote: 0
Read: Download Dissertation

Abstract


Linear Frequency Modulation Continous Wave (LFMCW) radar is paid more and more attention recently, because of the advantages of no range blind area, high range resolution and low signal power. The theories, key technologies and application are developed rapidly.In this thesis, focused on the LFMCW radars, target detection technique for slowly moving target in strong clutter background is studied. The main research work includes:1. Radar echo signals of ground target and clutter for LFMCW radar are modeled, simulated and verified. Hardware and software design, manufacture and debugging of a echo signal generator for LFMCW radar are accomplished to generate the simulated echo signals. These simulated echo signals can be used for radar singal processor debugging and testing as well as the test of constant false alarm rate (CFAR) processor.2. An improved CFAR algorithm called VITM-CFAR is proposed. Trimmed mean (TM) technique is adopted in variability index constant false alarm rate (VI-CFAR) method. The performance of detection and robustness especially in cluster verge and multiple targets environment are improved. The performance evaluation of proposed VITM-CFAR algorithm is accomplished. Simulation results verify the correction and effectiveness after compared with CA-CFAR, GO-CFAR and SO-CFAR methods.3. Combined with coherence processing, movement target detection(MTD) and CFAR, detection processing for slowly moving target in strong clutter background is finished. The signal processing software is programmed, deguged and tested by simulation data and experimental data. Simulation and experimental results show the correctness of the software.

Related Dissertations

  1. MATLAB for post-processing in the radar signal processor system simulation applications,TN957.51
  2. Research on IF and Baseband Signal Processing for 24GHz Automotive Collision Avoidance Radar,TN958
  3. Multi-channel high-speed signal acquisition and signal preprocessing Array Technology,TN957.51
  4. The 8mm LFMCW short-range detection system design,TN911.7
  5. The Base Research of the Anti-collision Car Radar Based on DSP,TN959.71
  6. Signal detection and tracking technology of small targets in a complex environment,TN957.51
  7. Study on the Methods of Target Detection in Polarimetric SAR Imagey,TN957.52
  8. Design and Realization of Ultra-High Speed Data Sampling and Real-Time Processing System,TP274.2
  9. Modeling and Simulation Study for Radar Clutter,TN955
  10. Study on Measurement of Range and Velocity by Linear Frequency Modulation Continuous Wave Laser,TN247
  11. Algorithm Research and System Design of Velocity Measure for CW Radar,TN958.94
  12. The Study of LFMCW Radar Single-Objective Parameter Estimation,TN957.51
  13. Matched Subspace CFAR Detection for High Frequency Radar,TN957.51
  14. Self-adaptive Detection of Radar Base on High Speed DSP,TN957.51
  15. Study on Signal Detection and Adapative Threshold in Digital Receiver,TN851
  16. Development and application of earth echo measurement system in the L-band radar,TN957.51
  17. The Detection on Vehicle Target in High Resolution SAR Image,TN957.52
  18. Radiation source passive radar signal processing simulation,TN958.97
  19. Millimeter wave automotive anti-collision radar T / R module studies,TN959.72
  20. Design and implementation of short - range surveillance radar signal processing,TN959.11
  21. Detection of Ship Target in Optical Remote Sensing Image Based on Feature,TP751

CLC: > Industrial Technology > Radio electronics, telecommunications technology > Radar > Radar: institutional sub- > Continuous wave radar amplitude continuous wave radar
© 2012 www.DissertationTopic.Net  Mobile