Modified neural multiple source tracking algorithm in the presence of mutual coupling

Date

2007-06-15

Author

Caylar, Selcuk
Leblebicioğlu, Mehmet Kemal
Dural, Guelbin

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

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In smart antenna systems, mutual coupling between elements can significantly degrade the processing algorithms [1]. In this paper mutual coupling effects on Modified Neural Multiple Source Tracking Algorithm (MN-MUST) has been studied. MN-MUST algorithm applied to the Uniform Circular Array (UCA) geometry for the first time. The validity of MN-MUST algorithm in the presence of mutual coupling has been proved for both Uniform Linear Array (ULA) and UCA. Simulation results of MN-MUST algorithm are provided for UCA for the first time. The presence of mutual coupling degraded the MN-MUST algorithm performed in the absence of mutual coupling, as expected.

Subject Keywords

Mutual coupling, Target tracking, Geometry, Degradation, Neural networks, Antenna measurements, Azimuth, Antenna arrays, Receiving antennas, Frequency

URI

https://hdl.handle.net/11511/48615

DOI

https://doi.org/10.1109/aps.2007.4395696

Collections

Department of Electrical and Electronics Engineering, Conference / Seminar

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Citation Formats

S. Caylar, M. K. Leblebicioğlu, and G. Dural, “Modified neural multiple source tracking algorithm in the presence of mutual coupling,” 2007, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/48615.