Abstract
AbstractIn this paper, we analyze the performance of Bessel beamformer based on spatial filtering criteria and its comparison is made with least mean square (LMS) algorithm in terms of gain enhancement towards desired user by suppressing interference, reduction in transmit power, minimize mean square error (MSE) and to find the optimum array weights. These algorithms are used in digital signal processor and connected with antenna which can dynamically update the main beam width, beam steering capability, side lobe levels and direction of null as the propagation environment or filtering requirement changes. Based on simulation results, it is revealed that Bessel beamformer provide remarkable improvements in terms of gain, interference suppression, reduction in transmit power, improvement in power gain and weights convergence over that of LMS algorithm. With respect to LMS, Bessel beamformer provides 2.02% improvements in interference suppression, 5 dB enhancements in gain, 99% improvement in convergence rate, 9.77% improvement in reduction in mean output power, 192% improvement in power gain and 107 % in null depth performance. Therefore, Bessel beamformer gives a cost effective solution in practical base station installations of mobile communication system in CDMA environment to enhance capacity and range.KeywordsSmart adaptive antenna array systemBessel beamformerLMS algorithm
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