Title :
Numerical annealing of low-redundancy linear arrays
Author :
Ruf, Christopher S.
Author_Institution :
Dept. of Electr. & Comput. Eng., Pennsylvania State Univ., University Park, PA, USA
fDate :
1/1/1993 12:00:00 AM
Abstract :
An algorithm is developed that estimates the optimal distribution of antenna elements in a minimum redundancy linear array. These distributions are used in thinned array interferometric imagers to synthesize effective antenna apertures much larger than the physical aperture. The optimal selection of antenna locations is extremely time consuming when large numbers of antennas are involved. This algorithm uses a numerical implementation of the annealing process to guide a random search for the optimal array configuration. Highly thinned low-redundancy arrays are computed for up to 30 array elements. These arrays are equivalent to the optimal solutions that are known for up to 11 elements. The arrays computed for 12-30 elements have the fewest redundancies reported to date
Keywords :
antenna arrays; radiowave interferometry; simulated annealing; antenna apertures; antenna arrays; antenna elements; interferometric aperture synthesis; low-redundancy linear arrays; minimum redundancy linear array; numerical annealing; optimal array configuration; optimal distribution; random search; thinned array interferometric imagers; Annealing; Antenna arrays; Earth; Frequency estimation; Layout; Linear antenna arrays; Microwave imaging; Radio astronomy; Sampling methods; Spatial resolution;
Journal_Title :
Antennas and Propagation, IEEE Transactions on