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Simulation and Analysis of Adaptive Signal Processing Techniques for Antenna Arrays

机译:天线阵列自适应信号处理技术的仿真与分析

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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.
机译:本文介绍了用于消除干扰(即使用天线阵列进行噪声消除和波束成形)的自适应信号处理技术的仿真和分析。自适应处理涉及迭代滤波算法,该算法连续计算滤波器系数,以基于某些准则将误差信号最小化。首先,本文介绍了一种用于音频信号频谱分析中的降噪的降噪模拟分析。其次,本文介绍了一种自适应波束成形仿真的分析方法,该方法利用了所需信号和其他干扰信号之间的空间间隔。这是通过迭代计算天线元件的权重来实现的,以在指定的方向上获得最大的接收。这些仿真的结果在两种情况下均提供了改进的性能,可用于分析,设计和优化线性天线阵列。

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