Interference reduction is vital for being able to effectively communicate with mobile users in rugged terrain and mountainous regions.It is proposed to outfit a high flying airborne node with a Code Division Multiple Access (CDMA) base station in order to provide line of sight communications and continual coverage to the remote users in a highly congested environment. The results will One approach to increasing capacity and coverage zones for the servicing wireless station is to use smart antennas. This paper simulates many Beamforming algorithms namely SMI, LMS, VSSLMS, Griffiths, VSSG, EDNSS and ENSS. The algorithms provides different ways by which we can calculate the phase shifts and apply to individual antenna elements so that main beam is formed in the look direction and nulls or reduced radiation is formed in the jammer directions. The two algoithms namely EDNSS & ENSS from adaptive filtering and applied to smart antenna concepts of beamforming. The ENSS algorithms achieves less error and high convergencence as compared to existing beamforming other algorithms. Keywords—Smart Antenna, Beam forming Algorithms, least mean square (LMS),variable step size LMS, Griffth’s variable step size Griffth’s, variable error data normalized step size(EDNSS) error normalized step size(ENSS). I
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