We present unequally spaced linear array synthesis with sidelobe suppression under constraints to beamwidth and null control using a design technique based on a Comprehensive Learning Particle Swarm Optimizer (CLPSO). CLPSO utilizes a new learning strategy that achieves the goal to accelerate the convergence of the classical PSO. Numerical examples are compared to the existing array designs in the literature and to those found by the other evolutionary algorithms. The synthesis examples that are presented show that the CLPSO algorithm outperforms the common PSO algorithms and a real-coded genetic algorithm (GA).Index Terms-Array synthesis, comprehensive learning particle swarm optimizer (CLPSO), genetic algorithms (GAs), linear array design, null control, particle swarm optimization (PSO), sidelobe suppression.

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Novel dual element antenna arrays suitable for small devices of MIMO applications have been designed and fabricated. The antenna elements have semi-printed structure, are fractaly shaped and operate in ISM(2.4GHz -2.489GHz) band as well as between 5GHz and 6GHz. Although the size of the designed antenna prototypes are small and the elements are positioned too close to each other, correlation coefficients lower than 0.1 and satisfactory levels of Mean Effective Gain have been obtained. Index Terms-Fractal antennas, MIMO antennas, Multi-band Antennas, Mean Effective Gain 1536-1225 (c)

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Abstract-A novel fractal antenna-array type is proposed. The design is based on the Sierpinski rectangular carpet concept. However, the generator is a circular ring area, filled with radiating elements, so the higher stages of the fractal development produce large arrays of circular rings which, besides the high directivity, have the advantage of the almost uniform azimuthal radiation pattern, attribute that many applications require. The introduced arrays can operate as direct radiating multi-beam phased arrays and meet the requirements of satellite communications links: high End of Coverage (EOC) directivity, low Side Lobe Level (SLL) and high Career to Interference ratio (C/I). These operational indices were further optimized by a synthesized multi-objective and multi-dimensional Genetic Algorithm (GA) which, additionally, gave arrays no more than 120 elements.