Superimposed Training-Based Channel Estimation for MIMO Relay Networks

<table>Channel estimation NMSEs versus <svg height="10.325" id="M186" style="vertical-align:-0.0pt" version="1.1" viewbox="0 0 11.6875 10.325" width="11.6875" xmlns="http://www.w3.org/2000/svg">
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<tspan style="font-size: 12.50px; " x="0" y="0">𝑅</tspan>
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</svg> and <svg height="10.325" id="M187" style="vertical-align:-0.0pt" version="1.1" viewbox="0 0 17.237499 10.325" width="17.237499" xmlns="http://www.w3.org/2000/svg">
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<g transform="translate(72,-63.74)">
<text transform="matrix(1,0,0,-1,-71.95,63.79)">
<tspan style="font-size: 12.50px; " x="0" y="0">𝑀</tspan>
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</svg> for <svg height="7.1750002" id="M188" style="vertical-align:-0.1254pt" version="1.1" viewbox="0 0 8.9375 7.1750002" width="8.9375" xmlns="http://www.w3.org/2000/svg">
<g transform="matrix(1.25,0,0,-1.25,0,7.175)">
<g transform="translate(72,-66.26)">
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<tspan style="font-size: 12.50px; " x="0" y="0">𝛼</tspan>
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</svg> = 0.5.</table>

International Journal of Antennas and Propagation

fig7

Figure 7

Figure 7: Superimposed Training-Based Channel Estimation for MIMO Relay Networks 