Title :
Neural modelling of smart antenna array using radial basis function for beam shipping of GSM transmitter
Author :
Shrivastava, Rahul ; Rawat, Abhishek ; Jain, Yogendra Kumar ; Yadav, R.N. ; Shrivastava, S.C.
Author_Institution :
Dept. of Comput. Sci., SATI, Vidisha, India
Abstract :
In this paper we presents the neural modelling technique for smart antennas using Radial basis network. RBF networks are very popular and useful in the research fields of signal processing and pattern recognition. Due to the effectiveness of the RBF networks we are applying it for modelling and training of smart array antennas. Smart antenna is a group of antennas in which by shifting the phase of the respective signal the effective radiation pattern of the array can be reinforced or suppressed in a desired or undesired directions. The proposed neural network based approach here is to predict the approximate data for beam ship of 7 elements dynamically phased array up to 60 deg scan angle.
Keywords :
adaptive antenna arrays; antenna radiation patterns; cellular radio; neural nets; pattern recognition; radial basis function networks; radio transmitters; signal processing; telecommunication computing; GSM transmitter; RBF networks; beam shipping; neural modelling technique; neural network; pattern recognition; phased array; radial basis function; radial basis network; radiation pattern; scan angle; signal processing; smart antenna array; Antenna radiation patterns; Arrays; Neural networks; Phased arrays; Training; Array Antenna; Neural Modelling; Neural network; Radial Basis Function Neural Network (RBFNN);
Conference_Titel :
Wireless and Optical Communications Networks (WOCN), 2012 Ninth International Conference on
Conference_Location :
Indore
Print_ISBN :
978-1-4673-1988-1
DOI :
10.1109/WOCN.2012.6331902
