LMS algorithm and neural network for optimizing the phased array antenna radiation pattern

Author

Hrishi, Sad Saffah Hassun

Source

مجلة الكلية الإسلامية الجامعة : مجلة علمية فصلية محكمة

Publisher

Islamic University of Najaf

Publication Date

2014-06-30

Country of Publication

Iraq

No. of Pages

14

Main Subjects

Engineering & Technology Sciences (Multidisciplinary)

Topics

• Algorithms

English Abstract

This paper describes a usual application of LMS neural networks algorithm for evolving and optimizing of antennaarray.

The neural network allows not only establishing important analytical equations for the optimization step, but also a great flexibility between the system parameters in input and output.

This research is based on some software that works on algorithms for thesimulation of the beamforming techniques.

Furthermore, the research has shown theresponse of the system before and after the use of adaptive algorithm.

The results showed that the output for four-element antenna array pattern produces a narrower beam with the same amplitude, as that of the main beam before applying neural network.

Along with a narrower beam, comes another positive result, that is, the reduction of side-lobes more than 5 decibels in comparison to the related work

Data Type

Conference Papers

Record ID

BIM-743276

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