Algorithm for Suppression of Wideband Probing in Adaptive Array with Multiple Desired Signals
In: Defence science journal: DSJ, Band 61, Heft 4, S. 325-330
ISSN: 0011-748X
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In: Defence science journal: DSJ, Band 61, Heft 4, S. 325-330
ISSN: 0011-748X
In: Defence science journal: a journal devotet to science & technology in defence, Band 61, Heft 4, S. 325-331
ISSN: 0011-748X
In: Defence Technology, Band 15, Heft 6, S. 837-843
ISSN: 2214-9147
In: Health and Technology
ISSN: 2190-7196
In: IEEE antennas & propagation magazine, Band 55, Heft 4, S. 333-351
ISSN: 1558-4143
In: Defence science journal: DSJ, Band 60, Heft 5, S. 507-513
ISSN: 0011-748X
In: Defence science journal: a journal devotet to science & technology in defence, Band 60, Heft 5, S. 507-514
ISSN: 0011-748X
In: Defence science journal: DSJ, Band 72, Heft 2, S. 236-242
ISSN: 0011-748X
The steady progress in the fields of material science and processing technologies has made multi-layered radar absorbing structures (RAS) an attractive option w.r.t. stealth technologies. They possess the ability to reduce radar cross-section with minimum thickness and is therefore most preferred in airborne applications. As far as their electromagnetic performance is concerned, the sequence of material layers and thickness profile plays a pivotal role. Optimization of these two factors becomes complex in case of availability of large number of potential materials. Commonly used EM simulation software can be employed for the optimization of thickness profile. However, selection of suitable material layer sequence is out of their scope. In this context, a particle swarm optimization (PSO) based algorithm is presented for sequencing of material layers and optimization of thickness profile of multi-layered RAS configurations. The fitness function has been appropriately formulated to achieve maximum power absorption over broad band of frequencies and wide range of incident angles. Further, the efficacy of the algorithm has been demonstrated using a suitable case study.