Adaptive Beamforming Based on Complex Quaternion Processes

<table class="table-group" width="800px"><tr class="fig-image" id="a"><td><img alt="291249.fig.001a" src="https://static.hindawi.com/articles/mpe/volume-2014/291249/figures/291249.fig.001a.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(a) </b>A 3-component vector-sensor</td></tr></table></td></tr><tr class="fig-image" id="b"><td><img alt="291249.fig.001b" src="https://static.hindawi.com/articles/mpe/volume-2014/291249/figures/291249.fig.001b.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(b) </b>A 2-component vector-sensor</td></tr></table></td></tr><tr class="fig-image" id="c"><td><img alt="291249.fig.001c" src="https://static.hindawi.com/articles/mpe/volume-2014/291249/figures/291249.fig.001c.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(c) </b>A linear uniform array</td></tr></table></td></tr></table>

<table>A linear uniform array with two 3-component (or 2-component) vector-sensors.</table>

Mathematical Problems in Engineering

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Figure 1: Adaptive Beamforming Based on Complex Quaternion Processes 