Sparse Signal Recovery for Direction-of-Arrival Estimation Based on Source Signal Subspace

<table>Spatial spectra of sSSR-SS in real data tests for the assumed number of the sources <svg height="13.1625" id="M223" style="vertical-align:-1.76814pt" version="1.1" viewbox="0 0 85.5 13.1625" width="85.5" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink">
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</svg>, while the correct number of the sources is <svg height="11.175" id="M224" style="vertical-align:-0.0pt" version="1.1" viewbox="0 0 40.900002 11.175" width="40.900002" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink">
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q12 68 2 83t-72 22l6 28h257l-7 -28q-62 -7 -76 -21.5t-27 -83.5l-32 -172q29 11 78 46q112 84 217 179q18 16 23.5 25.5t-1 14.5t-26.5 8l-30 4l5 28h249z" id="x1D43E"></path></g><g transform="matrix(.017,-0,0,-.017,17.962,11.113)"><path d="M535 323h-483v50h483v-50zM535 138h-483v50h483v-50z" id="x3D"></path></g><g transform="matrix(.017,-0,0,-.017,32.666,11.113)"><path d="M412 140l28 -9q0 -2 -35 -131h-373v23q112 112 161 170q59 70 92 127t33 115q0 63 -31 98t-86 35q-75 0 -137 -93l-22 20l57 81q55 59 135 59q69 0 118.5 -46.5t49.5 -122.5q0 -62 -29.5 -114t-102.5 -130l-141 -149h186q42 0 58.5 10.5t38.5 56.5z" id="x32"></path></g>
</svg>.</table>

Journal of Applied Mathematics

fig3

Figure 3

Figure 3: Sparse Signal Recovery for Direction-of-Arrival Estimation Based on Source Signal Subspace 