A Novel Adaptive Pre Screener For Ground Penetrating Radar

Date

2016-05-19

Author

Baydar, Bora
Akar, Gözde

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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This paper describes a novel pre-screener algorithm for landmine detection with a ground penetrating radar (GPR). The pre-screener algorithms are used for finding anomalies that are potential locations of interest. Thus, their processing time is as important as their true detection rate and false alarm rate. The proposed approach is based on Kernel Least Mean Square algorithm. Although Least Mean Square (LMS) based approach has already been used in the literature, KLMS based approach is a novel application for landmine detection with GPR. In this study, KLMS approach is compared with LMS approach in terms of processing time, false alarm rate, and true detection rate.

Subject Keywords

Landmine, GPR, Signal processing, Adaptive signal processing

URI

https://hdl.handle.net/11511/53040

Conference Name

24th Signal Processing and Communication Application Conference (SIU)

Collections

Department of Electrical and Electronics Engineering, Conference / Seminar

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Citation Formats

B. Baydar and G. Akar, “A Novel Adaptive Pre Screener For Ground Penetrating Radar,” presented at the 24th Signal Processing and Communication Application Conference (SIU), Zonguldak, TURKEY, 2016, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/53040.