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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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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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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.