Design and Optimization of Array Antennas using Artificial Intelligence
K.Ch.Sri Kavya1, Sarar K Kotamraju2, M.Sreevalli3, M.Parvathi Priyamvada4, K.Ravi Teja5, M.Asma6
1K.Ch.Sri Kavya, Department of ECE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur (Andhra Pradesh), India.
2Sarar K Kotamraju, Department of ECE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur (Andhra Pradesh), India.
3M.Sreevalli, Department of ECE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur (Andhra Pradesh), India.
4M.Parvathi Priyamvada, Department of ECE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur (Andhra Pradesh), India.
5K.Ravi Teja, Department of ECE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur (Andhra Pradesh), India.
6M.Asma, Department of ECE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur (Andhra Pradesh), India.
Manuscript received on 05 May 2019 | Revised Manuscript received on 12 May 2019 | Manuscript published on 30 May 2019 | PP: 921-926 | Volume-8 Issue-7, May 2019 | Retrieval Number: G2535058719/19©BEIESP
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Abstract: The configuration of any array antenna requires a set of very critical necessities and parameters. Some of these are frequently represented in terms of antenna parameters, such as radiation pattern, Gain or Directivity, Main Beam width, Side Lobe Length etc. In general, antenna requirements are specified for a set of frequencies or frequency band. This paper proposes a hybrid method using artificial intelligence to design and optimize the array antennas. Firstly, a linear array antenna is designed in matlab software. An error in tilt is introduced manually to the array elements. Considering this as a distortion in real time, this error is optimized using Artificial Neural Networks algorithms. The neural network works on the modelling and optimizing the antenna arrays, by functioning on the geometric parameters and by taking into account some predetermined criteria. Artificial Intelligence is the tool used to optimize the error since it is can generate the results very fast compared to any other different optimization algorithms. The results are simulated using Antenna tool box and Artificial Neural Network tool box in Matlab.
Keyword: Array Antennas, Artificial Neural Networks, Optimization.
Scope of the Article: Artificial Intelligence