Abstract
This paper proposes the correction of faulty sensors using a synthesis of the greedy sparse constrained optimization GSCO) technique. The failure of sensors can damage the radiation power pattern in terms of sidelobes and nulls. The synthesis problem can recover the wanted power pattern with reduced number of sensors into the background of greedy algorithm and solved with orthogonal matching pursuit (OMP) technique. Numerical simulation examples of linear arrays are offered to demonstrate the effectiveness of getting the wanted power pattern with a reduced number of antenna sensors which is compared with the available techniques in terms of sidelobes level and number of nulls.
Highlights
This paper stresses on the problem of failure correction in linear antenna arrays which has many applications in satellite and radar communication systems [1,2,3,4,5]
An antenna array failure correction problem is studied from the greedy sparseness constrained optimization (GSCO) technique which finds as few non-zero values which correspond to the active sensors of the array in the recovered radiation power pattern
The failure correction problem is ensemble as an optimization problem and solved by GSCO technique
Summary
This paper stresses on the problem of failure correction in linear antenna arrays which has many applications in satellite and radar communication systems [1,2,3,4,5]. An antenna array failure correction problem is studied from the GSCO technique which finds as few non-zero values which correspond to the active sensors of the array in the recovered radiation power pattern.
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