Radiation pattern synthesis using hybrid fourier-woodward-lawson-neural networks for reliable mimo antenna systems

In this paper, we implement hybrid Woodward-Lawson Neural Networks and weighted Fourier method to synthesize antenna arrays. The neural networks (NN) is applied here to simplify the modeling of MIMO antenna arrays by assessing phases. The main problem is obviously to find optimal weights of the linear antenna array elements giving radiation pattern with minimum sidelobe level (SLL) and hence ameliorating the antenna array performance. To attain this purpose, an antenna array for reliable Multiple-Input Multiple-Output (MIMO) applications with frequency at 2.45 GHz is implemented. To validate the suggested method, many examples of uniformly excited array patterns with the main beam are put in the direction of the useful signal. The Woodward-Lawson Neural Networks synthesis method permits to find out interesting analytical equations for the synthesis of an antenna array and highlights the flexibility between the system parameters in input and those in output. The performance of this hybrid optimization underlines how well the system is suitable for a wireless communication and how it participates in reducing interference, as well.

[1]  W. Keizer,et al.  Element Failure Correction for a Large Monopulse Phased Array Antenna With Active Amplitude Weighting , 2007, IEEE Transactions on Antennas and Propagation.

[2]  D. Marcano,et al.  Synthesis of antenna arrays using genetic algorithms , 2000 .

[3]  Fethi Tarik Bendimerad,et al.  Neural Networks for Synthesis and Optimization of Antenna Arrays , 2007 .

[4]  Wen-Chao Zheng,et al.  Dual-Band Dual-Polarized Compact Bowtie Antenna Array for Anti-Interference MIMO WLAN , 2014, IEEE Transactions on Antennas and Propagation.

[5]  Ali Gharsallah,et al.  Antenna Array Synthesis with Dolph-Chebyshev Method , 2011 .

[6]  Ali Gharsallah,et al.  Phased arrays in communication system based on Taguchi-neural networks , 2014, Int. J. Commun. Syst..

[7]  K. S. Senthilkumar,et al.  Accuracy of Perceptron based beamforming for embedded smart and MIMO antennas , 2016, 2016 International Symposium on Fundamentals of Electrical Engineering (ISFEE).

[8]  Yilong Lu,et al.  Sidelobe reduction in array-pattern synthesis using genetic algorithm , 1997 .

[9]  Jhen-Yan Jhang,et al.  Application of electromagnetism-like algorithm to phase-only syntheses of antenna arrays , 2008 .

[10]  Jean-Yves Chouinard,et al.  Pattern Synthesis Using Hybrid Fourier-Neural Networks for IEEE 802.11 MIMO Application , 2016 .

[11]  P. Woodward,et al.  The Theoretical Precision with which an Arbitrary Radiation-Pattern may be Obtained from a Source of Finite Size , 1948 .

[12]  C. Christodoulou,et al.  Linear array geometry synthesis with minimum sidelobe level and null control using particle swarm optimization , 2005, IEEE Transactions on Antennas and Propagation.

[13]  K. Siakavara,et al.  On the Direction of Arrival (DoA) Estimation for a Switched-Beam Antenna System Using Neural Networks , 2009, IEEE Transactions on Antennas and Propagation.