Extraction of target poles from electromagnetic scatter signals by using page distribution for target recognition Hedef tanima amaci ile page daǧilimi kullanarak elektromanyetik saçilim sinyallerinden kutup çikarimi

Date

2005-12-01

Author

Seçmen, Mustafa
Sayan, Gönül
Hizal, Altunkan

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

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In this paper, we work on the electromagnetic target recognition problem based on the scattered field measurements. These measurements were obtained both in frequency and time domains by using two 0.8-12 GHz horn antennas in bistatic position and HP8720D vector network analyzer. First, the theory of electromagnetic scattering from a target and singularity expansion method (SEM) are summarized. The importance of complex natural resonance frequencies (CNR) in identification problem is discussed in this part. Afterwards, the results of CNR extraction from the scattered data of three dielectric spheres with different sizes and permitivities are presented by using time-frequency techniques to discriminate these targets from each other. It is also demonstrated that Page distribution produces much better results in this respect as compared to Wigner distribution. © 2005 IEEE.

Subject Keywords

Antenna measurements, Target recognition, Electromagnetic scattering, Frequency measurement, Electromagnetic fields, Testing, Electromagnetic measurements, Frequency domain analysis, Time measurement, Position measurement

URI

https://hdl.handle.net/11511/56976

DOI

https://doi.org/10.1109/siu.2005.1567730

Collections

Department of Electrical and Electronics Engineering, Conference / Seminar

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Citation Formats

M. Seçmen, G. Sayan, and A. Hizal, “Extraction of target poles from electromagnetic scatter signals by using page distribution for target recognition Hedef tanima amaci ile page daǧilimi kullanarak elektromanyetik saçilim sinyallerinden kutup çikarimi,” 2005, vol. 2005, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/56976.