%0 Journal Article
%T A Novel Approach for Hybrid of Adaptive Amplitude Non-Linear Gradient Decent (AANGD) and Complex Least Mean Square (CLMS) Algorithms for Smart Antennas
%A Y. Rama Krishna
%A P.V. Subbaiah
%A B. Prabhakara Rao
%J International Journal of Wireless & Mobile Networks
%D 2013
%I Academy & Industry Research Collaboration Center (AIRCC)
%X An adaptive beam former is a device, which is able to steer and modifies an array's beam pattern in orderto enhance the reception of a desired signal, while simultaneously suppressing interfering signals throughcomplex weight selection. However, the weight selection is a critical task to get the low Side Lobe Level(SLL) and Low Beam Width. One needs to have a low SLL and low beam width to reduce the antenna'senergy radiation/reception ability in unintended directions. The weights can be chosen to minimize theSLL and to place nulls at certain angles. The convergence of the array output towards desired signal isalso very important for a good signal processing tool of an adaptive beam former. A vast number ofpossible window functions are available to calculate the weights for Smart Antennas. From the analysisof many of these algorithms, it is observed that there is a compromise between HPBW and SLL. But incase of smart antennas, both of these parameters must have low values to get good performance. In ourearlier work it is proposed that Complex Least Mean Square (CLMS) and Augmented Complex LeastMean Square ( ACLMS) algorithms gives low beam width and side lobe level in noisy environment.Another neural algorithm Adaptive Amplitude Non Linear Gradient Decent algorithm (AANGD) has theadvantage of more number of control parameters over CLMS and ACLMS algorithms. In this paper thehybrid of CLMS and AANGD is presented and this novel hybrid algorithm has outperformed the hybridalgorithm of CLMS and ACLMS in the aspect of convergence towards the desired signal.
%K AANGD
%K CLMS
%K ACLMS
%K Beam forming
%K Smart Antennas
%K Adaptive Beam former
%U http://airccse.org/journal/jwmn/0213wmn10.pdf