Abstract

In this paper constant modulus algorithm (CMA) and least mean square (LMS), kind of nonblind and blind algorithms which used for adaptive beamforming are presented. These algorithms are embedded in smart antenna which calculates optimum weight vector that minimizes the total received power except the power coming from desired direction. The use of the wavelet transform reduces the signal space dimension and hence results in low complexity in addition to data denoising and Time saving in signal beamforming processing. Theoretical analysis and computer simulations demonstrate how the suggested scheme, with different wavelet families, achieves better beamforming performance with faster convergence, as compared to conventional adaptive beamforming.

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