Simulation and Analysis of Adaptive Signal Processing Techniques for Antenna Arrays

This paper presents simulation and analysis of adaptive signal processing techniques for interference cancelling i.e. noise cancellation and beamforming using antenna arrays. Adaptive processing involves an iterative filtering algorithm that continuously computes the filter coefficients to minimize the error signal based upon certain criterion. First the paper presents analysis of a noise cancellation simulation for noise reduction in spectral analysis of audio signals. Second the paper presents analysis of an adaptive beamforming simulation for exploiting the spatial separation between the desired signal and other interfering signals. This has been done by computing the weights for the antenna elements iteratively to obtain maximum reception in a specified direction. Results of these simulations provide improved performance in both the cases and can be used for analysis, design and optimization of linear antenna arrays.