Smart Base Station Antenna Performance for Cellular Radio System
Smart Base Station Antenna Performance for Cellular Radio System is a scholarly work, published in 2013 in ''Journal of Engineering Science and Technology Review''. The main subjects of the publication include Signal subspace, noise, electronic engineering, SIGNAL, computer science, antenna array, weight, smart antenna, antenna, Adaptive beamformer, azimuth, sensor array, covariance matrix, beamforming, algorithm, and Direction of arrival. Adaptive array antenna technology is useful for detecting the Direction of Arrival (DOA) of signal and delay for mobile communications, where the antenna beam will automatically directed to the signal source.One method to estimate DOA and delay effectively is by using MUSIC (Multiple Signal Classification) algorithm.When the signal arrive at the antenna, the MUSIC algorithm will arrange the signal into its matrix covariance, and then perform an eigen decomposition process to produce the signal and noise subspace, and then obtain the power spectrum and delay spectrum.This paper combined the Taguchi method and MUSIC algorithm, used them as the prediction tool in designing parameters for the communication system and then constructed a set of the optimal parameter analysis flow and steps.Several adaptive beamforming criteria were discussed and a general form for the optimum array weight vector was derived that would require large amounts of computational load.Hence, it is necessary to find technique that can find optimum solution in real time.This paper will discuss the application of MUSIC algorithm for linear and circular array antenna in order to estimate the DOA and delay of various angles of elevation and azimuth.