Title :
An adaptive antenna employing genetic algorithm
Author :
Laohapensaeng, C. ; Free, C. ; Krairiksh, M.
Author_Institution :
MSRG Res. Group, Surrey Univ., Guildford, UK
Abstract :
The article simplifies the complexity of an adaptive antenna by employing the genetic algorithm. The system requires only the error signal and the phase-shifters in the discrete value to form an antenna pattern. An adaptive antenna with two elements and sixteen discrete steps of phase shifter is used. The instantaneous sample of an error signal is used as the cost function, which is minimized by using the genetic algorithm. Numerical results show that this antenna can improve signal-to-noise ratio by more than 15 dB.
Keywords :
adaptive antenna arrays; antenna radiation patterns; array signal processing; computational complexity; genetic algorithms; minimisation; phase shifters; signal sampling; adaptive antenna; antenna pattern; complexity; cost function minimization; genetic algorithm; instantaneous error signal sample; phase-shifters; signal-to-noise ratio; Adaptive arrays; Calibration; Cost function; Directive antennas; Genetic algorithms; Information technology; Interference; Microprocessors; Receiving antennas; Wireless communication;
Conference_Titel :
Antenna Technology: Small Antennas and Novel Metamaterials, 2005. IWAT 2005. IEEE International Workshop on
Print_ISBN :
0-7803-8842-9
DOI :
10.1109/IWAT.2005.1461087
