Detection of the Weak Targets by Using Multi Dimensional Hough Transform Based Track Before Detect Algorithm

Date

2016-05-19

Author

Turhan, Hasan Ihsan
Demirekler, Mübeccel

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This study proposes a multi-dimensional Hough transform algorithm that is improved from [1] by detecting weak targets in the high clutter. In the proposed algorithm execution time is reduced by eliminating the measurements considering speed and SNR values before the Hough transform. The skor-based track confirmation algorithm proposed in [1] is improved and tracks that belong to same target are eliminated. The proposed algorithm is tested with real data and results are presented.

Subject Keywords

Track before detect, Hough tranform, Multi dimensional Hough transform, Track confirmation

URI

https://hdl.handle.net/11511/54314

Collections

Graduate School of Natural and Applied Sciences, Conference / Seminar

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Citation Formats

H. I. Turhan and M. Demirekler, “Detection of the Weak Targets by Using Multi Dimensional Hough Transform Based Track Before Detect Algorithm,” 2016, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/54314.