Paper Title:
Track Initiation Based on Extended Trellis and Randomized Hough Transform
  Abstract

This paper presents a track-before-detect (TBD) algorithm for detection of unknown quantity of targets with parabolic tracks. First, eliminate large number of clutters orderly by expanded trellis and the method of mean power. And then get candidate parabolas by Randomized Hough Transform (RHT). The true tracks of the targets are extracted successfully by a strategy of outliers eliminating at last. Experimental results indicate that the proposed algorithm is capable of detecting multiple targets without the assumptions of an upper bound to the number of targets.

  Info
Periodical
Chapter
Chapter 5: Model and Optimization and Simulation
Edited by
Zhixiang Hou
Pages
1281-1287
DOI
10.4028/www.scientific.net/AMM.128-129.1281
Citation
Y. H. Zhang, X. H. Su, P. J. Ma, "Track Initiation Based on Extended Trellis and Randomized Hough Transform", Applied Mechanics and Materials, Vols. 128-129, pp. 1281-1287, 2012
Online since
October 2011
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