TITLE:
Grating Lobe Suppression with Element Count Optimization in Planar Antenna Array
AUTHORS:
B. Rama Sanjeeva Reddy, D. Vakula
KEYWORDS:
Rectangular Lattice (RL), Triangular Lattice (TL), Element Pattern (EP), Artificial Neural Network (ANN)
JOURNAL NAME:
Journal of Electromagnetic Analysis and Applications,
Vol.7 No.2,
February
26,
2015
ABSTRACT: The novel
approach of this paper describes the suppression of grating lobe level with the
element count optimization in planar antenna array. Rectangular lattice (RL)
and triangular lattice (TL) structures are chosen for determining the
achievable array element patterns (EP) and further suppressing the grating lobe
level. The element spacing and number of elements (10 × 20 array) are taken into
account for particular lattice. Grating lobe peaks are observed for the 200-element
planar array at maximum scan angle (θ)
with the set frequency of 3 GHz. Further, it is found that 14°; bore sight elevation of rectangular lattice produces a
transformed field of view, which permits a reduction in element count of 20.39%
compared with 10° bore sight elevation. Finally, the typical values of
elevation, element count and array size (25 cm2) are trained using
artificial neural network (ANN) algorithm and element count is predicted after
testing the network. The network shows a high success rate.