Adaptive Channel Estimation Based on an Improved Norm-Constrained Set-Membership Normalized Least Mean Square Algorithm

<table class="figure-group"><tr class="fig-image" id="a"><td><object data="https://static-preview.hindawi.com/articles/wcmc/volume-2017/8056126/figures/8056126.fig.006a.svgz" name="8056126.fig.006a" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(a) </b>An example of AIR channel</td></tr><tr class="fig-image" id="b"><td><object data="https://static-preview.hindawi.com/articles/wcmc/volume-2017/8056126/figures/8056126.fig.006b.svgz" name="8056126.fig.006b" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(b) </b>MSE of the proposed LPSM-NLMS algorithm</td></tr></table>

<div>Performance of the proposed LPSM-NLMS algorithm for estimating an AIR channel.</div>

Wireless Communications and Mobile Computing

fig6

Figure 6

Figure 6: Adaptive Channel Estimation Based on an Improved Norm-Constrained Set-Membership Normalized Least Mean Square Algorithm 