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side lobe level reduction using fft
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sidelobe synthesis is done using fast fourier trnsform method. side lobe is an undesired radiation. it is necessary to reduce it increases tne gain. there are various numerical and analytical methods for side lobe level rduction. here one of it that is fast fourior transform method is present.
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Particle swarm optimization generalized code for s
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this is particle swarm optimization algorithm generalized code for anteenna array synthesis.
particle swarm optimization uing antenn array synthesis contain null steering and side lobe level reduction
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antenna optimization
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here,3d pattern for antenna. to synthesis their radiation pattern to achieve goal radiation pattern. the code contains the result of optimization of antenna radiation pattern.
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Particle swarm optimization generalized code
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this is the generalized code for particle swarm optimization to determine set of parameter to achieve desired goal. the goal is in the form of cost function which can be minimized or maximized to reach our destination.particle swarm optimization has many applications in wireless communication. the algorithm is random based and it is derivative free...
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Antenna array synthesis using Particle swarm optimization
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this is the matlab code for optimization of antenna array. there are
two factors which can be achieved using various synthesis method. the
two factors are side lobe level reduction and second one is steering
nulls in the desired direction. ere the particle swarm optimization
(PSO) used for synthesis of antenna array.
The particle swarm
optimization (PSO) is a parallel evolutionary computation technique
developed by Kennedy and Eberhart based on the social behavior
metaphor. A standard textbook on PSO, treating both the social and
computational paradigms, is . The PSO algorithm is initialized with a
population of random candidate solutions, conceptualized as particles.
Each particle is assigned a randomized velocity and is iteratively moved
through the problem space. It is attracted towards the location of the
best fitness achieved so far by the particle itself and by the location
of the best fitness achieved so far across the whole pop
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antenna array synthesis
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this is the matlab code for optimization of antenna array. there are two factors which can be achieved using various synthesis method. the two factors are side lobe level reduction and second one is steering nulls in the desired direction. ere the particle swarm optimization (PSO) used for synthesis of antenna array.
The particle swarm optimization (PSO) is a parallel evolutionary computation technique developed by Kennedy and Eberhart based on the social behavior metaphor. A standard textbook on PSO, treating both the social and computational paradigms, is . The PSO algorithm is initialized with a population of random candidate solutions, conceptualized as particles. Each particle is assigned a randomized velocity and is iteratively moved through the problem space. It is attracted towards the location of the best fitness achieved so far by the particle itself and by the location of the best fitness achieved so far across the whole population (global version of
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