Track Initiation Based on Extended Trellis and Randomized Hough Transform
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.
track-before-detect expanded trellis fault randomized hough transform
Zhang yan-hang Su xiao-hong Ma peijun
School of Computer Science and Technology, Harbin Institute of Technology, Harbin 150001 School of Computer Science and Technology, Harbin Institute of Technology,Harbin 150001
国际会议
三亚
英文
1281-1287
2012-01-06(万方平台首次上网日期,不代表论文的发表时间)