Adaptive Beamforming Based on Complex Quaternion Processes

<table class="table-group" width="800px"><tr class="fig-image" id="a"><td><img alt="291249.fig.004a" src="https://static.hindawi.com/articles/mpe/volume-2014/291249/figures/291249.fig.004a.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(a) </b>Beamformer with CQLMS (<svg height="16.475" id="M302" style="vertical-align:-2.29482pt" version="1.1" viewbox="0 0 50.299999 16.475" width="50.299999" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink">
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</svg>)</td></tr></table></td></tr><tr class="fig-image" id="b"><td><img alt="291249.fig.004b" src="https://static.hindawi.com/articles/mpe/volume-2014/291249/figures/291249.fig.004b.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(b) </b>MVDR-SMI beamformer</td></tr></table></td></tr></table>

<table>The output SINR of two beamformers versus <svg height="17.575001" id="M301" style="vertical-align:-3.24037pt" version="1.1" viewbox="0 0 16.9375 17.575001" width="16.9375" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink">
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</svg>.</table>

Mathematical Problems in Engineering

Adaptive Beamforming Based on Complex Quaternion Processes

Figure 4