Performance Analysis of Bessel Beamformer in AWGN Channel Model Using Digital Modulation Technique

In this study, we simulate a communication system model using adaptive beamforming algorithm named as Bessel beamformer in Additive White Gaussian Noise (AWGN) environment and analyzed its performance employing 4 point Quadrature Amplitude Modulation (QAM) technique. This model describes the input and output relationship of physical systems. Bessel beamformer is used in smart antenna, a part of communication system to calculate weights adaptively to optimize Signal to Noise Ratio (SNR) of the desired signal in look direction. The QAM modulation technique allows us to send more bits per symbols to get higher throughput, to reduce interference and fading. QAM is used for systems like CDMA, WiMAX (IEEE802.16) and Wi-Fi (IEEE802.11) for beam formation, to measure Bit Error Rate (BER), noisy channel capacity, Mean Square Error (MSE), Power Efficiency for M-ary QAM signals, to study the effect of inter-symbol interference in terms of eyediagram for transmitted and received signal, elapsed time and array response gain towards desired user which leads not only for system capacity improvement but also enhancing spectrum efficiency.

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