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

2016-05-19
Turhan, Hasan Ihsan
Demirekler, Mübeccel
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.

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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.