What is genetic algorithm in antenna?
The genetic algorithm (GA) is an optimization solution for these kinds of problems that reconfigures the position of antennas to increase the u–v coverage plane or decrease the sidelobe levels (SLLs).
What is the working principle of smart antenna technology?
Smart Antennas, also known as multiple antennas, adaptive array antennas, and so on is used to increase the efficiency in digital wireless communication systems. It works by taking the advantage of the diversity effect at the transceiver of the wireless system that is the source and the destination.
What is genetic algorithm with example?
A genetic algorithm is a search heuristic that is inspired by Charles Darwin’s theory of natural evolution. This algorithm reflects the process of natural selection where the fittest individuals are selected for reproduction in order to produce offspring of the next generation.
What is purpose of smart antenna?
Smart antennas provide many benefits. The main benefit of smart antenna systems is its ability to simultaneously increase the useful receiving signal and lower the interference level, increasing the signal-to-interference ratio (SIR) in more densely populated areas.
What are genetic algorithms good for?
Genetic algorithms are commonly used to generate high-quality solutions to optimization and search problems by relying on biologically inspired operators such as mutation, crossover and selection.
What are the five phases of genetic algorithm?
Five phases are considered in a genetic algorithm:
- Initial population.
- Fitness function.
- Selection.
- Crossover.
- Mutation.
How smart antenna is different than reconfigurable antenna explain working of smart antenna?
Some of the most common smart antenna applications include acoustic signal processing, track and scan radar, and cellular systems such as 5G and LTE. The main difference between reconfigurable antennas and smart antennas is that reconfigurable antennas are single-element antennas instead of antenna arrays.
Which is not the advantages of smart antenna?
Which of the following is not the benefit of smart antenna? Explanation: Probability of collisions is reduced so the inference is also reduced in smart antennas. Thus the Signal to interference (SIR) increases in this. The SNR is also high as the multipath fading is also reduced n diversity type system.
What are the disadvantages of genetic algorithm?
Disadvantages of Genetic Algorithm GA implementation is still an art. GA requires less information about the problem, but designing an objective function and getting the representation and operators right can be difficult. GA is computationally expensive i.e. time-consuming.