Experimental Evaluation of the Knowledge-Aided Sigma-Delta STAP Algorithm to Improve GMTI Performance

Date

2014-06-05

Author

Anadol, Erman
Tanık, Yalçın

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A novel knowledge-aided processing scheme is proposed for use in Ground Moving Target Indication (GMTI) operation to be operated in real time on airborne SAR/GMTI sensors. The proposed approach is based on the Sigma-Delta Post-Doppler Space-Time Adaptive Processing (STAP) algorithm and makes use of a priori knowledge sources as well as instantaneous sensor data in order to improve detection performance in non homogeneous interference environments. The algorithm is tested with actual radar data obtained during flight trials and the results of both the traditional and the knowledge aided methods are presented and compared.

URI

https://hdl.handle.net/11511/55689

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Graduate School of Natural and Applied Sciences, Conference / Seminar

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Citation Formats

E. Anadol and Y. Tanık, “Experimental Evaluation of the Knowledge-Aided Sigma-Delta STAP Algorithm to Improve GMTI Performance,” 2014, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/55689.