PhotonIcs and Electromagnetics Research Symposium,
also known as Progress In Electromagnetics Research Symposium
PIERS Proceedings
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Published by The Electromagnetics Academy
Published: 2015-08-28
Minimum Variance Variable Constrain DOA Algorithm
By
Ahmed Khairy Aboul-Seoud,
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    Ahmed Khairy Aboul-Seoud

    Alexandria University, Egypt

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Ali Mohammed Ali Gaballa,
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    Ali Mohammed Ali Gaballa

    Alexandria University, Egypt

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Alaa El-Din Sayed Hafez,
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    Alaa El-Din Sayed Hafez

    Alexandria University, Egypt

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Ahmed Khairy Mahmoud
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    Ahmed Khairy Mahmoud

    Alexandria University, Egypt

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Proceedings of 2015 Photonics & Electromagnetics Research Symposium, Prague, July 6 - 9，Page(s)798-803
Abstract
This work proposes a new direction-of-arrival (DOA) estimation algorithm for Smart antenna. The proposed algorithm is based on MVDR algorithm through the introduction of a new optimization problem, which aims to maintain the array gain in the ‘look direction’, so that the DOA can be estimated correctly using Smart antenna array. To verify the performance of the proposed algorithm, computer simulations are performed and then the results obtained are compared with the MVDR algorithm. The results show that the proposed algorithm outperforms the MVDR algorithm.
Citation
Ahmed Khairy Aboul-Seoud, Ali Mohammed Ali Gaballa, Alaa El-Din Sayed Hafez, and Ahmed Khairy Mahmoud, "Minimum Variance Variable Constrain DOA Algorithm," Proceedings of 2015 Photonics & Electromagnetics Research Symposium, Prague, July 6 - 9，Page(s)798-803
References

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