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Volume 27 Issue 10
Oct.  2005
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Qu Chang-wen, Huang Yong, Su Feng, He You. An Algorithm of Detecting Moving Target with Parabolic Track Using Coordinate Transform and Randomized Hough Transform[J]. Journal of Electronics & Information Technology, 2005, 27(10): 1573-1575.
Citation: Qu Chang-wen, Huang Yong, Su Feng, He You. An Algorithm of Detecting Moving Target with Parabolic Track Using Coordinate Transform and Randomized Hough Transform[J]. Journal of Electronics & Information Technology, 2005, 27(10): 1573-1575.

An Algorithm of Detecting Moving Target with Parabolic Track Using Coordinate Transform and Randomized Hough Transform

  • Received Date: 2004-05-21
  • Rev Recd Date: 2004-09-08
  • Publish Date: 2005-10-19
  • This paper proposes a new algorithm of detecting target with constant acceleration along parabolic track on the radar coordinate plane. This algorithm combines coordinate transformation of the parabolic equation and three-point detection algorithm based on randomized hough transform to detect parabolic tracks in any orientation, and employs the velocity information of detected tracks to delete false alarms. Monte Carlo simulation shows that higher detection probability goes with higher false alarm probability in the background of heavy clutters; however in the background of sparse clutters, the detection performance is better.
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  • Hough P V C. Method and means for recognizing complex patterns. U.S, Patent 3,069,654, Dec, 1962.[2]Carlson B D, Evans E D, Wilson S L. Search radar detection and track with the Hough transform, part Ⅰ: System concept[J].IEEE Trans. on Aerospace and Electronic Systems.1994, 30(1):102-108[3]Jafri M Z M, Deravi F. Efficient algorithm for the detection of parabolic curves. Vision Geometry III, 1994, SPIE Vol. 2356: 53-62.[4]Xu L, Oja E. Randomized Hough transform: basic mechanism, algorithms, and computational complexities[J].CVGIP: Image Understanding.1993, 57(2):131-154[5]陈燕新, 戚飞虎. 一种新的基于随机Hough变换的椭圆检测方法. 红外与毫米波学报, 2000, 19(1): 43-47.
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