Realization of compact arrays with low side lobes using Biogeography Based Optimization

This paper presents a novel approach for synthesizing compact linear arrays with low side lobes for specified beam widths using Biogeography Based Optimization (BBO). BBO is applied to synthesize compact arrays with low side lobes for a given beam width and element spacing. The element spacing is based on minimal spacing criteria to avoid coupling between the elements. The simulation is performed for a 20 element array with different beam widths and spacing criteria. Results obtained are compared with other algorithms such as Modified Cuckoo Search (MCS) and Fire-fly algorithms (FA). especially in terms of size reduction and side lobe reduction.