The Improved Least Mean Square Algorithm Of Smart Antenna Research

With the rapid development of mobile communication industry ,smart antenna has become the important project .The adaptive beam-forming algorithms attract a lot of attention as one of the key components .The paper presented the basic principles of smart antenna and introduced several familiar adaptive beamformimg algorithms which were analysed and contrasted.Furthermore the realization ,actual conditions and the outlook of smart antenna was synthetically presented.Among the adaptive beam-forming algorithms, the least mean square algorithm is widely used because it has a simple configuration and it is apt to come true and have nice convergence .On the other hand ,it has a disadvantage that it converges slowly and there is a conflict between the fixed step and the convergence pace or the error in stabilization .So people have developed many improved least mean square algorithms which generally start from convergence, stabilization, misadjustment, and robustness and come to a formula about variational step in the end.The paper put forward a new improved least mean square algorithms which is on the basis of the fundamental of convergence step and the graph connection between error and step. The new improved least mean square algorithms can resolve the question after the actions which include looking for a appropriate graph, designing the formula and amending it. The outcome of computer emluator testifies the new improved least mean square algorithms is nicer .Then, author brings forward a guess which would confine other resemble algorithms.The the new algorithms of the paper bases on the space adaptive filter and the computer emluator bases on the software named MATLAB.