A Novel STAP Algorithm for Airborne MIMO Radar Based on Temporally Correlated Multiple Sparse Bayesian Learning

<table class="figure-group"><tr class="fig-image" id="a"><td><object data="https://static.hindawi.com/articles/mpe/volume-2016/3986903/figures/3986903.fig.002a.svgz" name="3986903.fig.002a" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(a) </b>SR-STAP based on FOCUSS</td></tr><tr class="fig-image" id="b"><td><object data="https://static.hindawi.com/articles/mpe/volume-2016/3986903/figures/3986903.fig.002b.svgz" name="3986903.fig.002b" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(b) </b>MIMOSR-STAP based on MFOCUSS</td></tr><tr class="fig-image" id="c"><td><object data="https://static.hindawi.com/articles/mpe/volume-2016/3986903/figures/3986903.fig.002c.svgz" name="3986903.fig.002c" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(c) </b>SR-STAP based on OMP</td></tr><tr class="fig-image" id="d"><td><object data="https://static.hindawi.com/articles/mpe/volume-2016/3986903/figures/3986903.fig.002d.svgz" name="3986903.fig.002d" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(d) </b>MIMOSR-STAP based on MOMP</td></tr><tr class="fig-image" id="e"><td><object data="https://static.hindawi.com/articles/mpe/volume-2016/3986903/figures/3986903.fig.002e.svgz" name="3986903.fig.002e" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(e) </b>SR-STAP based on SBL</td></tr><tr class="fig-image" id="f"><td><object data="https://static.hindawi.com/articles/mpe/volume-2016/3986903/figures/3986903.fig.002f.svgz" name="3986903.fig.002f" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(f) </b>MIMOSR-STAP based on TMSBL</td></tr></table>

<div>Spectrum estimation performance.</div>

Mathematical Problems in Engineering

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Figure 2

Figure 2: A Novel STAP Algorithm for Airborne MIMO Radar Based on Temporally Correlated Multiple Sparse Bayesian Learning 