Interference suppression in wireless communications by adaptive beam forming algorithm and windows

Abstract

Smart antennas plays major role for improving the capacity and range, conventional methods like LMS (least mean square), Normalized LMS (NLMS) are not suitable for reducing the inferring signals, and the basic drawback of NLMS is variable step size at each iterations because of stable step size. In VSSNLMS algorithm method step size is variable and MSE should be reduced up to the desired level but it takes more processing time for the updation of tap weights. So in order to reduce the above short comings, For LMS algorithm, a new technique is developed for wireless systems. For steering the antenna beam electronically LMS algorithm is used.Sample-by-Sample adaptive implementation and Block-data of the MBER solution is done by using the Rectangular, Hamming, Kaiser, Chebyshev windows. Antenna Half power beam width is to the extent of using Matlab simulation by making use of window techniques. The system gain will increase the CDMA performance of the system. They offer a wide range of ways to increase performance of the wireless system.