Using Parallel Computing for Adaptive Beamforming
2016-08-23
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Abstract| Recently, smart antenna systems have been widely considered to provide interfer-
ence reduction and improve the capacity, data rates, and performance of wireless mobile commu-
nication. Smart antenna arrays with adaptive beamforming capability are very e®ective in the
suppression of interference and multipath signals. The techniques of placing nulls in the antenna
patterns to suppress interference and maximizing their gain in the direction of desired signal
have received considerable attention in the past and are still of great interest using evolutionary
algorithms such as genetic algorithms (GA) and particle swarm optimization (PSO) algorithm.
ence reduction and improve the capacity, data rates, and performance of wireless mobile commu-
nication. Smart antenna arrays with adaptive beamforming capability are very e®ective in the
suppression of interference and multipath signals. The techniques of placing nulls in the antenna
patterns to suppress interference and maximizing their gain in the direction of desired signal
have received considerable attention in the past and are still of great interest using evolutionary
algorithms such as genetic algorithms (GA) and particle swarm optimization (PSO) algorithm.
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