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Design of Data Processing Algorithms for TWS Radars Based on Hough Transform

Mahdavi, Ali | 2010

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 40157 (05)
  4. University: Sharif University of Technology
  5. Department: Electrical Engineering
  6. Advisor(s): Nayebi, Mohammad Mehdi
  7. Abstract:
  8. In this research, a new approach for TWS (Track While Scan) systems is introduced. Conventional TWS systems usually use target’s position (in Cartesian or polar coordinate systems), its velocity, and sometimes its acceleration (in main directions of coordinate system which is being used) as the elements of target’s state vector but the suggested algorithms use target’s velocity, course of motion and their rates of change as main tracking quantities and target’s position will be calculated after updating its velocity and course of motion. Hough transform is used as a powerful tool in detecting patterns which are identified with finite parameters (like lines, circles, ellipses, etc) to calculate these quantities (target’s velocity and course of motion) having position of detected targets in each radar scan. According to how target’s position is estimated for the next scan, we suggest three branches of this new algorithm. In the first branch, no filtering is performed on calculated target’s velocity and course of motion. In the second branch, a filter (like Kalman filter) is applied on calculated velocity to reduce its sensitivity on measurement errors of radar. In the third branch, both target’s velocity and course of motion which are calculated from Hough transform are filtered to reduce velocity errors and also increase adaptivity of tracking system with various motion geometries (like circular motion or accelerated motion). Computer simulations are presented next to compare the suggested algorithms performance with conventional TWS systems performance in accuracy of calculated target’s kinematic parameters and stability of tracking system in high measurement noise. Finally, a combinational algorithm is introduced which has advantages of both suggested algorithms and conventional algorithms and its performance is analyzed via computer simulations
  9. Keywords:
  10. Hough Transform ; Gating System ; Data Processing ; Data Association

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