Abstract
In an adaptive antenna array system, the most favourable solution to the problem of obtaining a certain null or maximum at a specific location may take a long processing time, such that the spatial situation could have been changed before the optimization process ends. In this work, an algorithm employing the schelkunoff nulling theory to achieve specific null or maximum at some desired directions is presented. The optimization of the array excitations is performed using genetic algorithm (GA) method to achieve null and maxima at the desired directions, the proposed technique holds for any adaptive array geometry. It is evidenced that the proposed technique based on reducing the number of array coefficients to be optimized reduces the processing time of the optimization process by about 92% without influencing other parameters such as the side-lobes level or the beam width.
Original language | English |
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Title of host publication | 2019 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, APSURSI 2019 - Proceedings |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 461-462 |
Number of pages | 2 |
ISBN (Electronic) | 9781728106922 |
DOIs | |
State | Published - Jul 2019 |
Publication series
Name | 2019 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, APSURSI 2019 - Proceedings |
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Bibliographical note
Publisher Copyright:© 2019 IEEE.
ASJC Scopus subject areas
- Computer Networks and Communications
- Signal Processing
- Instrumentation