adaptive beamforming based on complex quaternion processes

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ID: 208807
2014
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Abstract
Motivated by the benefits of array signal processing in quaternion domain, we investigate the problem of adaptive beamforming based on complex quaternion processes in this paper. First, a complex quaternion least-mean squares (CQLMS) algorithm is proposed and its performance is analyzed. The CQLMS algorithm is suitable for adaptive beamforming of vector-sensor array. The weight vector update of CQLMS algorithm is derived based on the complex gradient, leading to lower computational complexity. Because the complex quaternion can exhibit the orthogonal structure of an electromagnetic vector-sensor in a natural way, a complex quaternion model in time domain is provided for a 3-component vector-sensor array. And the normalized adaptive beamformer using CQLMS is presented. Finally, simulation results are given to validate the performance of the proposed adaptive beamformer.
Reference Key
tao2014mathematicaladaptive Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Jian-wu Tao;Wen-xiu Chang
Journal journal of power sources
Year 2014
DOI
10.1155/2014/291249
URL
http://dx.doi.org/10.1155/2014/291249
Keywords
civil engineering (general)mathematics engineering (general)

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